Triple
T7494799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pacifier |
E177095
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Vincent Tabaillon |
E689532
|
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: Vincent Tabaillon | Statement: [The Pacifier, editedBy, Vincent Tabaillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vincent Tabaillon Context triple: [The Pacifier, editedBy, Vincent Tabaillon]
-
A.
Vincent Tabaillon
chosen
Vincent Tabaillon is a French film editor known for his work on major action and visual effects-driven films, including the 2010 remake of Clash of the Titans.
-
B.
Vincent Delerm
Vincent Delerm is a French singer-songwriter and pianist known for his literate, introspective chansons and theatrical pop arrangements.
-
C.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
D.
Roland Gallois
Roland Gallois is a film editor known for his work on the feature film "Slow West."
-
E.
Frédéric Arnault
Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57b5b4c8190ab839e6a98ee86ed |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9721e3d488190a7e7d0f0e8d0b97f |
completed | March 29, 2026, 6:40 p.m. |
Created at: March 27, 2026, 3:43 p.m.