Triple
T3934320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Spacey |
E90872
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Kevin Spacey Fowler |
E90872
|
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 Spacey Fowler | Statement: [Kevin Spacey, birthName, Kevin Spacey Fowler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Spacey Fowler Context triple: [Kevin Spacey, birthName, Kevin Spacey Fowler]
-
A.
Kevin Spacey
chosen
Kevin Spacey is an American actor known for his intense, often villainous roles in film and television, including acclaimed performances in "The Usual Suspects," "American Beauty," and "House of Cards."
-
B.
Thomas Haden Church
Thomas Haden Church is an American actor known for roles in the TV series "Wings" and films such as "Sideways" and "Spider-Man 3."
-
C.
Gil Bellows
Gil Bellows is a Canadian actor best known for his roles in films like The Shawshank Redemption and the television series Ally McBeal.
-
D.
John C. McGinley
John C. McGinley is an American character actor best known for his roles in films like "Platoon" and as Dr. Perry Cox on the television series "Scrubs."
-
E.
Chris Cooper
Chris Cooper is an American character actor known for his intense, nuanced performances in films such as "American Beauty," "Adaptation," and "Seabiscuit."
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcbf0188190a5e828707a77752a |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53ff373c081908e512ba2e65fc774 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:23 p.m.