Triple
T23098964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fame (1980 film) |
E575972
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Paul McCrane |
—
|
NE NERFINISHED |
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: Paul McCrane | Statement: [Fame (1980 film), stars, Paul McCrane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul McCrane Context triple: [Fame (1980 film), stars, Paul McCrane]
-
A.
Paul McCrane
chosen
Paul McCrane is an American actor and director best known for his roles in the film "Fame" and the television series "ER" and "RoboCop."
-
B.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
-
C.
Bruce McCleery
Bruce McCleery is a cinematographer known for his work on the film "Sabotage."
-
D.
Frank McCallister
Frank McCallister is a character from the "Home Alone" film series, known as Kevin McCallister’s sarcastic and often rude uncle.
-
E.
Ray McKinnon
Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de71a088190b91918e6c4ea6e97 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:58 p.m.