Triple

T12958611
Position Surface form Disambiguated ID Type / Status
Subject The Hate U Give E310079 entity
Predicate castMember P1668 FINISHED
Object Lamar Johnson E447650 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: Lamar Johnson | Statement: [The Hate U Give, castMember, Lamar Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamar Johnson
Context triple: [The Hate U Give, castMember, Lamar Johnson]
  • A. Lamar Johnson chosen
    Lamar Johnson is a Canadian actor known for roles in film and television, including his appearance in HBO's adaptation of "The Last of Us."
  • B. Lamar Harding
    Lamar Harding is an individual notable enough to be specifically recognized as a bearer of the surname Harding.
  • C. Ray Roberts
    Ray Roberts was a Texas politician whose public service and regional influence led to a major state reservoir, Ray Roberts Lake, being named in his honor.
  • D. Don Baylor
    Don Baylor was an American Major League Baseball slugger and later manager, renowned for his power hitting, durability, and leadership on and off the field.
  • E. Joe L. Barton
    Joe L. Barton is an American Republican politician who served for decades in the U.S. House of Representatives from Texas and was known for his influential role on energy policy.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2c5bf481908ca6adcfd3354f71 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc0b8188190a6a40bb4edf53e25 completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:44 p.m.