Triple

T13834949
Position Surface form Disambiguated ID Type / Status
Subject Why Did I Get Married Too? E332501 entity
Predicate starredActor P5563 FINISHED
Object Malik Yoba E315709 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: Malik Yoba | Statement: [Why Did I Get Married Too?, starredActor, Malik Yoba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malik Yoba
Context triple: [Why Did I Get Married Too?, starredActor, Malik Yoba]
  • A. Malik Yoba chosen
    Malik Yoba is an American actor best known for his roles in television series such as "New York Undercover" and films like "Cool Runnings."
  • B. Malik Talao
    Malik Talao is a scenic lake within Ranthambore National Park in Rajasthan, India, known for attracting diverse wildlife and enhancing the park’s natural beauty.
  • C. Malik
    Malik is a common Arabic surname and given name used across various cultures, often meaning "king" or "owner."
  • D. Malik
    Malik is a subtribe historically associated with the larger Arab tribal group of Kinana.
  • E. Malik B.
    Malik B. was an American rapper and founding member of the influential hip hop band The Roots, known for his complex lyricism and contributions to the group’s early sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029a34bc8190ae892ef7b09fc9e9 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
Created at: April 9, 2026, 10:13 p.m.