Triple
T10367837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heartbreaker |
E244300
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Yohann Gromb |
E863634
|
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: Yohann Gromb | Statement: [Heartbreaker, screenwriter, Yohann Gromb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yohann Gromb Context triple: [Heartbreaker, screenwriter, Yohann Gromb]
-
A.
Yohann Gromb
chosen
Yohann Gromb is a French screenwriter known for his work on the film "Heartbreaker" and other contemporary French comedies.
-
B.
Julien Barbagallo
Julien Barbagallo is a French drummer and musician best known for performing as the live drummer for the psychedelic music project Tame Impala.
-
C.
Arnaud Decagny
Arnaud Decagny is a French local politician who serves as the mayor of the northern town of Maubeuge.
-
D.
Matthieu Rougé
Matthieu Rougé is a French Roman Catholic prelate who serves as the bishop of the Diocese of Nanterre.
-
E.
Julien Bertheau
Julien Bertheau was a French actor known for his work in both classical theatre, particularly with the Comédie-Française, and in notable films by directors such as Luis Buñuel.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97106448190a075948e63184f47 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd93b506c8190bbff63903770355a |
completed | April 12, 2026, 5:41 p.m. |
Created at: April 6, 2026, noon