Triple
T37071291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wantee |
E917588
|
entity |
| Predicate | awardReceivedByProxy |
P195796
|
FINISHED |
| Object | Laure Prouvost |
—
|
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: Laure Prouvost | Statement: [Wantee, awardReceivedByProxy, Laure Prouvost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardReceivedByProxy Context triple: [Wantee, awardReceivedByProxy, Laure Prouvost]
-
A.
awardReceivedWith
Indicates that an entity received a specific award, optionally together with additional contextual details such as the work, role, or circumstances associated with that award.
-
B.
awardWith
Indicates that one entity grants or presents an award, prize, or honor to another entity.
-
C.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
E.
awardIsPrecursorOf
Indicates that one award precedes and leads to another award in a sequence or progression.
- F. None of above. chosen
Provenance (4 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_69f76e9771e08190a690834e3cd20654 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fde5d7d9548190880a9d95b8f0f66b |
completed | May 8, 2026, 1:32 p.m. |
| PD | Predicate disambiguation | batch_69fde4e1bf9c81909754545275eccc03 |
completed | May 8, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69fde5d677b88190bc904e6df8617c18 |
completed | May 8, 2026, 1:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.