Triple
T34373565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Je t’aime, je t’aime |
E882225
|
entity |
| Predicate | precedesInDirectorCareer |
P46150
|
FINISHED |
| Object | Stavisky... |
—
|
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: Stavisky... | Statement: [Je t’aime, je t’aime, precedesInDirectorCareer, Stavisky...]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesInDirectorCareer Context triple: [Je t’aime, je t’aime, precedesInDirectorCareer, Stavisky...]
-
A.
precedesInFilm
Indicates that one film is released or occurs earlier in sequence or narrative order than another film.
-
B.
precedesInCareer
Indicates that one entity’s role, position, or stage in a professional path occurs earlier in time than another entity’s corresponding role, position, or stage in that same career trajectory.
-
C.
precededByCollaborationWithDirector
Indicates that an event or work occurred after, and was directly preceded by, a collaboration with a specified director.
-
D.
directorPreviousFilm
chosen
Indicates that the referenced film is the one a director worked on immediately before the current film.
-
E.
positionInDirectorsCareer
Indicates the specific point or rank that a work or event occupies within the chronological sequence of a director’s professional career.
- F. None of above.
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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 1, 2026, 1:59 a.m.