Triple

T11102828
Position Surface form Disambiguated ID Type / Status
Subject Kareena Kapoor Khan E262552 entity
Predicate hasEndorsed P18857 FINISHED
Object multiple Indian and international brands 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: multiple Indian and international brands | Statement: [Kareena Kapoor Khan, hasEndorsed, multiple Indian and international brands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEndorsed
Context triple: [Kareena Kapoor Khan, hasEndorsed, multiple Indian and international brands]
  • A. hasEndorser
    Indicates that one entity supports, approves, or publicly backs another entity, typically lending it credibility or validation.
  • B. endorsedAt
    Indicates the specific time or date at which an endorsement or approval of something was made.
  • C. endorsedBy chosen
    Indicates that one entity has given formal approval, support, or recommendation to another entity.
  • D. hasSign
    Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
  • E. hasMandate
    Indicates that an entity is officially authorized or required to perform a specific role, action, or set of responsibilities.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2c30a481908c45020c37caebe4 completed April 9, 2026, 12:23 p.m.
PD Predicate disambiguation batch_69d7441aa3548190b92dbde57841c135 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.