Triple
T4256272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Le Mat |
E95981
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul Le Mat |
E95981
|
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: Paul Le Mat | Statement: [Paul Le Mat, name, Paul Le Mat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Le Mat Context triple: [Paul Le Mat, name, Paul Le Mat]
-
A.
Paul Le Mat
chosen
Paul Le Mat is an American actor best known for his breakout role as the hot-rodder John Milner in the coming-of-age film "American Graffiti."
-
B.
Ken Burrough
Ken Burrough was an American professional football wide receiver best known for his Pro Bowl career with the Houston Oilers in the 1970s.
-
C.
Frederick Peters
Frederick Peters was the brother of classic Hollywood actress Carole Lombard, connected to her family life outside her film career.
-
D.
Joseph MacDonald
Joseph MacDonald was an American cinematographer known for his work on numerous classic Hollywood films, particularly in the 1940s and 1950s.
-
E.
Francis Carco
Francis Carco was a French novelist, poet, and journalist associated with bohemian Paris and known for his gritty, atmospheric depictions of urban life and the criminal underworld.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec1971c81908f7a72418efa8bcc |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b78422a88190a67921ee38638ac8 |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:06 p.m.