Triple

T4101197
Position Surface form Disambiguated ID Type / Status
Subject Lawless E87943 entity
Predicate editor P1954 FINISHED
Object Dylan Tichenor E241094 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: Dylan Tichenor | Statement: [Lawless, editor, Dylan Tichenor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dylan Tichenor
Context triple: [Lawless, editor, Dylan Tichenor]
  • A. Dylan Tichenor chosen
    Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
  • B. Dylan Clark
    Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
  • C. Dylan Massett
    Dylan Massett is a central character in the psychological horror drama series "Bates Motel," portrayed as Norman Bates' troubled half-brother who becomes entangled in the family's dark secrets and criminal activities.
  • D. Dylan Taylor
    Dylan Taylor is a Canadian actor known for his work in film and television, including roles in projects like the teen comedy-drama "Charlie Bartlett."
  • E. Dylan McLaughlin
    Dylan McLaughlin is an American former child actor best known for his roles in family comedies and dramas in the early 2000s.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0ed168819093c83ba079d6725c completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f1d1ab081909b7999e8feede458 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:40 p.m.