Triple

T11329919
Position Surface form Disambiguated ID Type / Status
Subject Near Dark E268313 entity
Predicate hasCastMember P2308 FINISHED
Object Tim Thomerson E518215 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: Tim Thomerson | Statement: [Near Dark, hasCastMember, Tim Thomerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Thomerson
Context triple: [Near Dark, hasCastMember, Tim Thomerson]
  • A. Tim Thomerson chosen
    Tim Thomerson is an American actor and comedian best known for his roles in cult science fiction and action films such as the "Trancers" series.
  • B. Andrew Thomason
    Andrew Thomason is a British mathematician renowned for his contributions to combinatorics and graph theory.
  • C. Eric Thompson
    Eric Thompson was a British actor and writer best known for narrating and adapting the children's television series "The Magic Roundabout" and as the father of actress and screenwriter Emma Thompson.
  • D. Ken Thorne
    Ken Thorne was a British composer and Oscar-winning film scorer known for his work on major films including entries in the Superman series.
  • E. Gary Scott Thompson
    Gary Scott Thompson is an American screenwriter, producer, and director best known for originating the Fast & Furious film franchise.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e330008190b75490efde01dc59 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b7c700008190a2e6a3418248ea71 completed April 20, 2026, 5:21 a.m.
Created at: April 8, 2026, 9:32 p.m.