Triple
T16875869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Boucher |
E421296
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Paul Thomas |
E1237871
|
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 Thomas | Statement: [Le Boucher, mainCharacter, Paul Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Thomas Context triple: [Le Boucher, mainCharacter, Paul Thomas]
-
A.
Paul Thomas
Paul Thomas is an American musician best known as the bassist for the pop-punk band Good Charlotte.
-
B.
Paul Thomas
Paul Thomas is the grandfather of professional golfer Justin Thomas and a key early influence on his golfing career.
-
C.
Paul Thomas
chosen
Paul Thomas is the central male protagonist in the French film "Les Biches," around whom the story’s romantic and psychological tensions revolve.
-
D.
Jeffrey Bell
Jeffrey Bell is an American television writer and producer known for his work on genre series such as Angel, Alias, and Marvel's Agents of S.H.I.E.L.D.
-
E.
Tom Hiel
Tom Hiel is an American film and television composer known for scoring a variety of genre projects, including cult and horror films.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7a451708190897bb3332c1e7457 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:29 a.m.