Triple
T17220748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivier Giscard d’Estaing |
E417972
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Olivier |
E299040
|
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: Olivier | Statement: [Olivier Giscard d’Estaing, givenName, Olivier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Context triple: [Olivier Giscard d’Estaing, givenName, Olivier]
-
A.
Olivier
chosen
Olivier is a common French given name, notably borne by economist Olivier Blanchard.
-
B.
Olivier
Olivier is a photographic portrait series by Dutch artist Rineke Dijkstra, known for its intimate, psychologically rich depiction of a young French Foreign Legion recruit over time.
-
C.
Laurence Olivier
Laurence Olivier was a renowned 20th-century English actor and director, widely regarded as one of the greatest performers in the history of stage and screen.
-
D.
George Borg Olivier
George Borg Olivier was a Maltese statesman and lawyer who led Malta to independence from the United Kingdom and served as one of its most prominent early prime ministers.
-
E.
John Gielgud
John Gielgud was a distinguished English actor and director renowned for his Shakespearean performances on stage and screen, and as one of the great theatrical knights of the 20th century.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddd52d4819098b51d55e063c8ab |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016757985881909b5711eb1f206cd7 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.