Triple
T20301006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascal Soriot |
E505478
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pascal Soriot |
—
|
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: Pascal Soriot | Statement: [Pascal Soriot, name, Pascal Soriot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pascal Soriot Context triple: [Pascal Soriot, name, Pascal Soriot]
-
A.
Pascal Soriot
chosen
Pascal Soriot is a French-born business executive best known for leading the global biopharmaceutical company AstraZeneca as its chief executive.
-
B.
Thierry Weill
Thierry Weill is a French sports administrator best known for serving as the marketing director of UEFA, European football’s governing body.
-
C.
Jean-Luc Lagardère
Jean-Luc Lagardère was a prominent French industrialist and media magnate who built a major conglomerate spanning aerospace, defense, and publishing.
-
D.
Dominique Tapie
Dominique Tapie is a French public figure best known as the widow of businessman and politician Bernard Tapie, often appearing in the media in connection with his high-profile career and legal affairs.
-
E.
Francis Bouygues
Francis Bouygues was a French entrepreneur and engineer best known as the founder of the Bouygues construction and telecommunications conglomerate.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6770c700c81909da247cef0d0f1eb |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:17 a.m.