Triple

T14413645
Position Surface form Disambiguated ID Type / Status
Subject Love Lies Bleeding E357391 entity
Predicate editedBy P1954 FINISHED
Object Mark Towns E857430 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: Mark Towns | Statement: [Love Lies Bleeding, editedBy, Mark Towns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Towns
Context triple: [Love Lies Bleeding, editedBy, Mark Towns]
  • A. Mark Towns chosen
    Mark Towns is an editor known for his work on the film "The Ritual."
  • B. John Bromfield
    John Bromfield was an American film and television actor best known for his rugged leading-man roles in 1950s crime dramas and Westerns.
  • C. David Drumlin
    David Drumlin is a high-ranking government science advisor and political figure in the science fiction film "Contact," often serving as a skeptical foil to the protagonist Ellie Arroway.
  • D. Clayton Townsend
    Clayton Townsend is a film producer known for his work on major Hollywood comedies and dramas, including the hit movie "Bridesmaids."
  • E. Mark Suter
    Mark Suter is a percussionist known for his work in contemporary and world music, including performances with the Silk Road Ensemble.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.