Triple
T6095994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnham |
E135878
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Forest Whitaker |
E31928
|
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: Forest Whitaker | Statement: [Burnham, portrayedBy, Forest Whitaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forest Whitaker Context triple: [Burnham, portrayedBy, Forest Whitaker]
-
A.
Forest Whitaker
chosen
Forest Whitaker is an Academy Award–winning American actor, director, and producer known for his intense, nuanced performances in films such as "The Last King of Scotland."
-
B.
Denzel Washington
Denzel Washington is an acclaimed American actor and filmmaker known for his powerful performances in films such as "Training Day," "Malcolm X," and "Glory."
-
C.
Danny Huston
Danny Huston is an American actor and director known for his character roles in films such as "The Constant Gardener," "X-Men Origins: Wolverine," and "Wonder Woman."
-
D.
Daniel Day-Lewis
Daniel Day-Lewis is a highly acclaimed British-Irish method actor renowned for his intense character immersion and record three Academy Awards for Best Actor.
-
E.
Sean Penn
Sean Penn is an acclaimed American actor and filmmaker known for his intense, character-driven performances and multiple major awards, including two Academy Awards for Best Actor.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9764048190ad4e9a02f9a25ab6 |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1253faa70819093354be8c0c4e1e7 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.