Triple

T16761112
Position Surface form Disambiguated ID Type / Status
Subject Jekyll & Hyde... Together Again E407344 entity
Predicate castMember P1668 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: [Jekyll & Hyde... Together Again, castMember, Tim Thomerson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Thomerson
Context triple: [Jekyll & Hyde... Together Again, castMember, 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. Chris Tomson
    Chris Tomson is an American drummer best known as a member of the indie rock band Vampire Weekend.
  • C. Andrew Thomason
    Andrew Thomason is a British mathematician renowned for his contributions to combinatorics and graph theory.
  • D. 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.
  • E. 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.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abec638c81909d71ff452a4123c9 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01481dfcdc8190818456f89c285df4 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:21 a.m.