Triple
T12989215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsieur N. |
E321852
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Elsa Zylberstein |
E933112
|
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: Elsa Zylberstein | Statement: [Monsieur N., stars, Elsa Zylberstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsa Zylberstein Context triple: [Monsieur N., stars, Elsa Zylberstein]
-
A.
Elsa Zylberstein
chosen
Elsa Zylberstein is a French actress known for her nuanced performances in film and television, often in emotionally complex dramatic roles.
-
B.
Tzila Segal
Tzila Segal was the mother of Israeli Prime Minister Benjamin Netanyahu and part of a prominent Zionist family.
-
C.
Orly Castel-Bloom
Orly Castel-Bloom is an Israeli author known for her innovative, often surrealist fiction that has made her a prominent voice in contemporary Hebrew literature.
-
D.
Odette Yustman
Odette Yustman is an American actress known for her roles in films such as Cloverfield and The Unborn, as well as various television series.
-
E.
Marta Vogel
Marta Vogel is an individual notable enough to be recognized as a prominent bearer of the surname Vogel, though specific widely known public details about her are not clearly established.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0f95c548190a6fc2c1ea98246c3 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 8:43 p.m.