Triple
T8002002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caught Out There |
E186270
|
entity |
| Predicate | hasISRC |
P15290
|
FINISHED |
| Object |
GBAYE9901550
GBAYE9901550 is the ISRC identifier for the song "Caught Out There" by Kelis.
|
E704159
|
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: GBAYE9901550 | Statement: [Caught Out There, hasISRC, GBAYE9901550]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GBAYE9901550 Context triple: [Caught Out There, hasISRC, GBAYE9901550]
-
A.
GA 55
GA 55 is a state highway in Georgia that serves as a regional connector route through several counties in the state.
-
B.
A595
The A595 is a primary road in Cumbria, England, running along the county’s western side and serving as a key route to coastal towns and the western Lake District.
-
C.
B90 stock
B90 stock is a class of automated light rail vehicles used on London's Docklands Light Railway, introduced in the early 1990s to expand and modernize the system’s fleet.
-
D.
B99
B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
-
E.
BB-59
BB-59 is the hull classification symbol for USS Massachusetts, a South Dakota-class battleship that served in the U.S. Navy during World War II and is now preserved as a museum ship.
- 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: GBAYE9901550 Triple: [Caught Out There, hasISRC, GBAYE9901550]
Generated description
GBAYE9901550 is the ISRC identifier for the song "Caught Out There" by Kelis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GBAYE9901550 Target entity description: GBAYE9901550 is the ISRC identifier for the song "Caught Out There" by Kelis.
-
A.
G50
G50 is a major Chinese national expressway connecting Shanghai on the east coast with the inland metropolis of Chongqing.
-
B.
GA 55
GA 55 is a state highway in Georgia that serves as a regional connector route through several counties in the state.
-
C.
A595
The A595 is a primary road in Cumbria, England, running along the county’s western side and serving as a key route to coastal towns and the western Lake District.
-
D.
B90 stock
B90 stock is a class of automated light rail vehicles used on London's Docklands Light Railway, introduced in the early 1990s to expand and modernize the system’s fleet.
-
E.
B99
B99 is a popular American comedy television series set in a Brooklyn police precinct, known for its ensemble cast, witty humor, and progressive themes.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf2918081909ee0afab11caed63 |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe11aefc88190bcf614e936455927 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe441b76881909efa791b74316088 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34749ae08190a1d30919a0594bfd |
completed | March 31, 2026, 8:54 p.m. |
Created at: March 30, 2026, 5:18 p.m.