Triple
T6277989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America's Got Talent |
E140708
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Terry Crews |
E136124
|
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: Terry Crews | Statement: [America's Got Talent, presenter, Terry Crews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Crews Context triple: [America's Got Talent, presenter, Terry Crews]
-
A.
Terry Crews
chosen
Terry Crews is an American actor, former NFL player, and television host known for his comedic roles, muscular physique, and energetic personality.
-
B.
Eric Palicki
Eric Palicki is an American comic book writer known for creator-owned and independent titles, and as the brother of actress Adrianne Palicki.
-
C.
Adam Bernthal
Adam Bernthal is a veterinarian and the brother of American actor Jon Bernthal.
-
D.
Bill Spencer Jr.
Bill Spencer Jr. is a fictional media mogul and central character on the American soap opera "The Bold and the Beautiful," known for his ruthless business tactics and tumultuous romantic relationships.
-
E.
Michael Mahoney
Michael Mahoney is a television producer best known for his executive production work on the period crime drama miniseries "The Lizzie Borden Chronicles."
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063daec108190859d1d5dbafd5b42 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5194e9b3881908188f004c4a03a09 |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.