Triple
T3301056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American History X |
E69332
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Edward Norton |
E241650
|
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: Edward Norton | Statement: [American History X, starring, Edward Norton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Norton Context triple: [American History X, starring, Edward Norton]
-
A.
Edward Norton
chosen
Edward Norton is an acclaimed American actor and filmmaker known for his intense, nuanced performances in films such as "Fight Club," "American History X," and "Birdman."
-
B.
Nicolas Cage
Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
-
C.
Dermot Mulroney
Dermot Mulroney is an American actor known for his versatile film and television roles, including prominent performances in romantic comedies and dramas since the late 1980s.
-
D.
Thomas Jane
Thomas Jane is an American actor best known for his roles in films such as "The Punisher," "Deep Blue Sea," and "Boogie Nights," as well as the TV series "The Expanse."
-
E.
Guy Pearce
Guy Pearce is an Australian actor known for his versatile performances in films such as "Memento," "L.A. Confidential," and "The King's Speech."
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a7d224819080d9a638e08bb8a8 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3db14ac819083182f56c60b61b2 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:11 p.m.