Triple
T29333104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeans |
E743832
|
entity |
| Predicate | featuresActressInDualRole |
P32517
|
FINISHED |
| Object | Aishwarya Rai |
—
|
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: Aishwarya Rai | Statement: [Jeans, featuresActressInDualRole, Aishwarya Rai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresActressInDualRole Context triple: [Jeans, featuresActressInDualRole, Aishwarya Rai]
-
A.
featuresActorInMultipleRoles
chosen
Indicates that a work includes an actor who portrays more than one distinct role within that same work.
-
B.
featuresAllFemaleCast
Indicates that the work’s cast is composed entirely of female performers, with no male cast members.
-
C.
hasTwinActors
Indicates that two or more actors share a twin relationship, typically portraying twin characters or being treated as twins within a given context.
-
D.
relationshipTypeWithFemaleLead
Indicates the type or nature of a relationship that an entity has with a female lead.
-
E.
featuresDoubleAct
Indicates that an entity includes or presents a performance, show, or act involving two main performers acting together as a pair.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
Created at: April 28, 2026, 1:30 p.m.