Triple

T13834955
Position Surface form Disambiguated ID Type / Status
Subject Why Did I Get Married Too? E332501 entity
Predicate starredActor P5563 FINISHED
Object Lamman Rucker E777372 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: Lamman Rucker | Statement: [Why Did I Get Married Too?, starredActor, Lamman Rucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamman Rucker
Context triple: [Why Did I Get Married Too?, starredActor, Lamman Rucker]
  • A. Lamman Rucker chosen
    Lamman Rucker is an American actor best known for his prominent roles in television dramas, including his starring role on the series "Greenleaf."
  • B. Ernest Dickerson
    Ernest Dickerson is an American cinematographer and director known for his collaborations with Spike Lee and his distinctive visual style in films such as Malcolm X.
  • C. Melvin Edmonds
    Melvin Edmonds was an American R&B singer best known as a founding member of the group After 7.
  • D. Reuben Robinson
    Reuben Robinson is a person known primarily as the child of Jason Robinson.
  • E. Earle Larrimore
    Earle Larrimore was an American stage and film actor active in the early 20th century, known for his Broadway performances and work in Hollywood.
  • 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_69de029b352081909605baaedc336213 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbc31a91608190a80a69be38ac7f71 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:13 p.m.