Triple
T22052012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Is a Family |
E544907
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Hugo Gélin |
—
|
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: Hugo Gélin | Statement: [Two Is a Family, screenwriter, Hugo Gélin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Gélin Context triple: [Two Is a Family, screenwriter, Hugo Gélin]
-
A.
Hugo Gélin
chosen
Hugo Gélin is a French film director and screenwriter known for his popular, emotionally driven comedies and dramas.
-
B.
Daniel Gélin
Daniel Gélin was a prominent French actor known for his prolific film career from the 1940s onward and his collaborations with many major European directors.
-
C.
Gérard Oury
Gérard Oury was a prominent French film director, screenwriter, and actor best known for his hugely successful comedy films such as "La Grande Vadrouille" and "Le Corniaud."
-
D.
Pierre Étaix
Pierre Étaix was a French filmmaker, actor, and clown known for his elegantly crafted visual comedies and his work in the tradition of silent-era slapstick.
-
E.
Jean Rougerie
Jean Rougerie was a French film and television actor known for his supporting roles in numerous French productions during the late 20th century.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.