Triple
T602389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enola Gay |
E11520
|
entity |
| Predicate | tailCode |
P3547
|
FINISHED |
| Object |
Circle R
Circle R was the distinctive tail marking used by the U.S. Army Air Forces to identify the 509th Composite Group’s B-29 bombers, including the Enola Gay, during World War II.
|
E75417
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Circle R | Statement: [Enola Gay, tailCode, Circle R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Circle R Context triple: [Enola Gay, tailCode, Circle R]
-
A.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
B.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
C.
RGC
RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
-
D.
RAN
RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
-
E.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Circle R Triple: [Enola Gay, tailCode, Circle R]
Generated description
Circle R was the distinctive tail marking used by the U.S. Army Air Forces to identify the 509th Composite Group’s B-29 bombers, including the Enola Gay, during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Circle R Target entity description: Circle R was the distinctive tail marking used by the U.S. Army Air Forces to identify the 509th Composite Group’s B-29 bombers, including the Enola Gay, during World War II.
-
A.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
B.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
C.
RGC
RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
-
D.
RAN
RAN is the 3GPP working group responsible for specifying the radio access network technologies used in mobile communication systems such as LTE and 5G.
-
E.
Crescent
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailCode Context triple: [Enola Gay, tailCode, Circle R]
-
A.
eraCode
Indicates the specific historical or temporal era associated with an entity, typically encoded as a standardized era identifier.
-
B.
tailConfiguration
chosen
Indicates how the tail of an entity is arranged, structured, or positioned relative to the rest of that entity.
-
C.
catalogCode
Indicates that an entity is assigned a specific catalog identifier or code used for classification or reference.
-
D.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
E.
relatedCode
Indicates that one code is associated with, linked to, or otherwise contextually connected to another code.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49e574444819087999404f3e3ffd9 |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a521704f3081909c1dbb3b030e79ec |
completed | March 2, 2026, 5:34 a.m. |
| NEDg | Description generation | batch_69a521e8eb7c819084a5485b4f71bb93 |
completed | March 2, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5226144f881908e0d1add6be6e156 |
completed | March 2, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69a49cf701e08190966d06b9ff4b582b |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.