Triple
T20219604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Édith Giovanna Gassion |
E495214
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Marcelle Dupont |
—
|
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: Marcelle Dupont | Statement: [Édith Giovanna Gassion, child, Marcelle Dupont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcelle Dupont Context triple: [Édith Giovanna Gassion, child, Marcelle Dupont]
-
A.
Marcelle Dupont
chosen
Marcelle Dupont was the daughter of famed French singer Édith Piaf, who tragically died in childhood.
-
B.
Marthe Poncin
Marthe Poncin was a film editor known for her work on French cinema, including editing the classic film "Hôtel du Nord."
-
C.
Marie Dubois
Marie Dubois was a French actress best known for her roles in New Wave cinema, particularly in films directed by François Truffaut.
-
D.
Hélène Daville
Hélène Daville is a central fictional character in Claude Chabrol’s psychological thriller film "Le Boucher," around whom much of the story’s tension and mystery revolves.
-
E.
Françoise Bonnot
Françoise Bonnot was a French film editor renowned for her long-standing collaborations with director Costa-Gavras and her work on numerous acclaimed international films.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edbb67081909c7359ff27205b5f |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:39 p.m.