Triple
T10351753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léon Zitrone |
E243897
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Léon Zitrone |
E243897
|
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: Léon Zitrone | Statement: [Léon Zitrone, name, Léon Zitrone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léon Zitrone Context triple: [Léon Zitrone, name, Léon Zitrone]
-
A.
Léon Zitrone
chosen
Léon Zitrone was a prominent French television journalist and news anchor, renowned for his long career presenting news and major public events on French national TV.
-
B.
Léon Ross
Léon Ross was the explorer credited with revealing the extensive limestone cave system now known as the Grotte de Bétharram in southwestern France.
-
C.
Paul Mongré
Paul Mongré was the literary pseudonym of German mathematician and philosopher Felix Hausdorff, under which he published philosophical and literary works.
-
D.
Jules Ostin
Jules Ostin is the driven, overworked founder and CEO of an online fashion startup portrayed by Anne Hathaway in the film "The Intern."
-
E.
Jules Schermer
Jules Schermer was a film producer active in mid-20th-century American cinema.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9489f9481908fc1c818e81c1cc2 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7951e65948190a25e559ba94be3c7 |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:57 a.m.