Triple

T5141873
Position Surface form Disambiguated ID Type / Status
Subject Leonard Nimoy E115971 entity
Predicate familyName P18 FINISHED
Object Nimoy E115971 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: Nimoy | Statement: [Leonard Nimoy, familyName, Nimoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nimoy
Context triple: [Leonard Nimoy, familyName, Nimoy]
  • A. Leonard Nimoy chosen
    Leonard Nimoy was an American actor, director, and author best known for originating the iconic role of Spock in the Star Trek franchise.
  • B. Walter Koenig
    Walter Koenig is an American actor best known for playing Ensign Pavel Chekov in the original Star Trek television series and films.
  • C. William Shatner
    William Shatner is a Canadian actor best known for his iconic role as Captain James T. Kirk in the original Star Trek television series and films.
  • D. Michael Dorn
    Michael Dorn is an American actor best known for playing the Klingon character Worf in multiple Star Trek television series and films.
  • E. DeForest Kelley
    DeForest Kelley was an American actor best known for portraying Dr. Leonard "Bones" McCoy in the original Star Trek television series and its subsequent films.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787ff1c081909a6954aa76e12cbf completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee07016e4819094aacafec653e700 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:43 p.m.