Triple

T14053721
Position Surface form Disambiguated ID Type / Status
Subject The Rifleman E338157 entity
Predicate mainCharacter P1183 FINISHED
Object Lucas McCain E796212 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: Lucas McCain | Statement: [The Rifleman, mainCharacter, Lucas McCain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucas McCain
Context triple: [The Rifleman, mainCharacter, Lucas McCain]
  • A. Lucas McCain chosen
    Lucas McCain is the sharpshooting widowed rancher and devoted father who serves as the main protagonist of the classic Western TV series "The Rifleman."
  • B. Lucas North
    Lucas North is a central MI5 officer character in the British television spy drama "Spooks" (also known as "MI-5").
  • C. Lucas Dawson
    Lucas Dawson is an actor known for his role in the horror film "The Witch."
  • D. Hunter McCracken
    Hunter McCracken is an American actor best known for his lead role as young Jack in Terrence Malick’s acclaimed film "The Tree of Life."
  • E. Colt Hawkins
    Colt Hawkins is a character appearing in the 1975 blaxploitation film "Friday Foster," which stars Pam Grier as a former fashion model turned photographer who uncovers a dangerous conspiracy.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65e63b48190bd5bd4a36cd15396 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.