Triple
T13525065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strong Enough |
E322996
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Kevin Gilbert |
E1053319
|
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: Kevin Gilbert | Statement: [Strong Enough, writer, Kevin Gilbert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Gilbert Context triple: [Strong Enough, writer, Kevin Gilbert]
-
A.
Kevin Gilbert
Kevin Gilbert was an influential Aboriginal Australian writer, artist, and activist known for his pioneering work in Indigenous rights and literature.
-
B.
Kevin Gilbert
chosen
Kevin Gilbert was an American singer-songwriter, multi-instrumentalist, and producer known for his work in progressive rock and his behind-the-scenes contributions to major 1990s albums.
-
C.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
D.
Scott Dolson
Scott Dolson is the athletic director at Indiana University, overseeing the Hoosiers’ athletic programs and their strategic direction.
-
E.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa6ad60819087824e4ac83934ed |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a838581c819092a195f60673b743 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:44 p.m.