Triple
T11343447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Carlton |
E268657
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Larry |
E543914
|
NE FINISHED |
How this triple was built (2 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: Larry | Statement: [Larry Carlton, givenName, Larry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Context triple: [Larry Carlton, givenName, Larry]
-
A.
Larry
Larry is the fictional mayor of the shark-plagued resort town Amity Island in the film "Jaws."
-
B.
Larry
chosen
Larry is the given name of Larry Poons, an American abstract painter associated with the Color Field movement and Op Art.
-
C.
Larry
Larry Itliong was a Filipino American labor organizer and key leader in the farm workers’ movement, known for helping to initiate the Delano grape strike and advocating for farm laborers’ rights in California.
-
D.
Larry
Larry is the given name of Larry Holmes, the American former professional boxer and longtime world heavyweight champion.
-
E.
Larry
Larry Gagosian is a prominent American art dealer and owner of the international Gagosian Gallery network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1e360c8190a02d1e2d1d6f4b5d |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5435f4e288190b9b0029dc35bf2c5 |
completed | April 19, 2026, 9:04 p.m. |
Created at: April 8, 2026, 9:33 p.m.