Triple
T36646283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kal Aaj Aur Kal |
E904725
|
entity |
| Predicate | featuresActorGeneration |
P194855
|
FINISHED |
| Object | Prithviraj Kapoor |
E262549
|
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: Prithviraj Kapoor | Statement: [Kal Aaj Aur Kal, featuresActorGeneration, Prithviraj Kapoor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresActorGeneration Context triple: [Kal Aaj Aur Kal, featuresActorGeneration, Prithviraj Kapoor]
-
A.
crewCharacterization
Indicates how the crew of an entity (such as a vessel, vehicle, or facility) is described or classified in terms of its composition, qualities, or role.
-
B.
characterGenerator
Indicates a relationship where an entity produces, defines, or initializes characters or character data for use in another context.
-
C.
featuresReturningCharacterFrom
Indicates that a work includes the reappearance of a character who previously appeared in the referenced source work.
-
D.
AICharacteristics
Indicates the defining traits, behaviors, or properties that characterize an artificial intelligence system.
-
E.
characterCreator
chosen
Indicates that one entity is the creator or originator of a character associated with another entity.
- F. None of above.
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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c1bbe9c81909261e9c288da73c0 |
completed | June 26, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.