Triple
T22864650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Lamy |
E567017
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Un gars, une fille |
—
|
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: Un gars, une fille | Statement: [Alexandra Lamy, notableWork, Un gars, une fille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Un gars, une fille Context triple: [Alexandra Lamy, notableWork, Un gars, une fille]
-
A.
Un gars, une fille
chosen
Un gars, une fille is a popular French television comedy series centered on the humorous everyday life of a couple, which helped launch Jean Dujardin to fame.
-
B.
Les Boys
Les Boys is a popular Canadian comedy film franchise centered on the humorous exploits of a recreational ice hockey team.
-
C.
Laisse tomber les filles
"Laisse tomber les filles" is a 1964 French yé-yé pop song, written by Serge Gainsbourg and performed by France Gall, that became one of her signature hits.
-
D.
Pour elle
Pour elle is a 2008 French thriller film about a man who devises an elaborate plan to break his wrongfully imprisoned wife out of jail.
-
E.
Comme un garçon
"Comme un garçon" is a popular 1967 French yé-yé pop song by Sylvie Vartan that became one of her signature hits.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17effd93081909f2c9a8857a8728b |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.