Triple
T1385456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsieur Ibrahim |
E29833
|
entity |
| Predicate | awardReceivedByCast |
P11
|
FINISHED |
| Object | Omar Sharif – César Award for Best Actor |
—
|
LITERAL 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: Omar Sharif – César Award for Best Actor | Statement: [Monsieur Ibrahim, awardReceivedByCast, Omar Sharif – César Award for Best Actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardReceivedByCast Context triple: [Monsieur Ibrahim, awardReceivedByCast, Omar Sharif – César Award for Best Actor]
-
A.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or recognition.
-
B.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
C.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
D.
awardReceivedByWork
Indicates that a particular award was given in recognition of a specific work (such as a book, film, or artwork).
-
E.
awardIncludes
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
- F. None of above.
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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c339f3d481909c04b14129899945 |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befe343c81909f758440a531b5be |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.