Triple
T2771104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobra |
E61456
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
G. Larry Smith
G. Larry Smith is an editor known for his work on the publication "Cobra."
|
E296907
|
NE FINISHED |
How this triple was built (4 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: G. Larry Smith | Statement: [Cobra, editedBy, G. Larry Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: G. Larry Smith Context triple: [Cobra, editedBy, G. Larry Smith]
-
A.
Michael G. Smith
Michael G. Smith is an American Episcopal bishop who has served as the diocesan leader of the Episcopal Diocese of Albany.
-
B.
J. Dallas Dort
J. Dallas Dort was an American automobile pioneer and industrialist best known as the co-founder of the Durant-Dort Carriage Company, a key precursor to General Motors.
-
C.
John L. Smithmeyer
John L. Smithmeyer was a 19th-century American architect best known for designing prominent institutional buildings, including major works in Washington, D.C.
-
D.
William S. Smith
William S. Smith was an American military officer and public figure who served in the Continental Army during the Revolutionary War and later held various diplomatic and political roles in the early United States.
-
E.
James L. Wilmeth
James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
- 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: G. Larry Smith Triple: [Cobra, editedBy, G. Larry Smith]
Generated description
G. Larry Smith is an editor known for his work on the publication "Cobra."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: G. Larry Smith Target entity description: G. Larry Smith is an editor known for his work on the publication "Cobra."
-
A.
Michael G. Smith
Michael G. Smith is an American Episcopal bishop who has served as the diocesan leader of the Episcopal Diocese of Albany.
-
B.
J. Dallas Dort
J. Dallas Dort was an American automobile pioneer and industrialist best known as the co-founder of the Durant-Dort Carriage Company, a key precursor to General Motors.
-
C.
John L. Smithmeyer
John L. Smithmeyer was a 19th-century American architect best known for designing prominent institutional buildings, including major works in Washington, D.C.
-
D.
William S. Smith
William S. Smith was an American military officer and public figure who served in the Continental Army during the Revolutionary War and later held various diplomatic and political roles in the early United States.
-
E.
James L. Wilmeth
James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
- F. None of above. chosen
Provenance (5 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6a23208190ba94c9a9f601a042 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc05061808190abe709eff7a8c986 |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc0b6f7208190ac4f135ae72f0336 |
completed | March 10, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc133f8088190bd505db0d0d1d6f7 |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 6, 2026, 9:57 p.m.