Triple
T33910573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubina Ali |
E869300
|
entity |
| Predicate | fameOriginatedFrom |
P164277
|
FINISHED |
| Object | Slumdog Millionaire |
—
|
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: Slumdog Millionaire | Statement: [Rubina Ali, fameOriginatedFrom, Slumdog Millionaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fameOriginatedFrom Context triple: [Rubina Ali, fameOriginatedFrom, Slumdog Millionaire]
-
A.
fameDerivedFrom
chosen
Indicates that an entity’s fame or notoriety arises from, or is primarily attributable to, another specified entity, event, or source.
-
B.
basedOnFameFrom
Indicates that something is determined, influenced, or derived from the level or source of fame associated with an entity.
-
C.
fameFor
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
D.
fameStatus
Indicates the level or state of public recognition or renown associated with an entity.
-
E.
madeInternationallyFamousBy
Indicates that one entity became widely known across multiple countries as a result of the actions, influence, or association of another entity.
- 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_69f3499869bc8190b6c33a81686af226 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.