Triple
T2009080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adaptation |
E43650
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Nicolas Cage |
E108795
|
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: Nicolas Cage | Statement: [Adaptation, starredActor, Nicolas Cage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolas Cage Context triple: [Adaptation, starredActor, Nicolas Cage]
-
A.
Nicolas Cage
chosen
Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
-
B.
Val Kilmer
Val Kilmer is an American actor known for his versatile performances in films such as "Top Gun," "The Doors," and "Batman Forever."
-
C.
Tom Sizemore
Tom Sizemore was an American character actor known for his intense supporting roles in gritty war and crime films such as "Saving Private Ryan," "Heat," and "Black Hawk Down."
-
D.
Rob Lowe
Rob Lowe is an American actor known for his roles in films like "St. Elmo's Fire" and TV series such as "Parks and Recreation" and "9-1-1: Lone Star."
-
E.
Brendan Fraser
Brendan Fraser is a Canadian-American actor best known for his roles in films like "The Mummy" series, "George of the Jungle," and his Oscar-winning performance in "The Whale."
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae395a08190abf2077ad7a975ba |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:37 p.m.