Triple

T4101199
Position Surface form Disambiguated ID Type / Status
Subject Lawless E87943 entity
Predicate musicBy P1952 FINISHED
Object Warren Ellis E242668 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: Warren Ellis | Statement: [Lawless, musicBy, Warren Ellis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren Ellis
Context triple: [Lawless, musicBy, Warren Ellis]
  • A. Warren Ellis chosen
    Warren Ellis is an Australian musician and composer best known for his work with Nick Cave and the Bad Seeds and for scoring numerous acclaimed films.
  • B. Steve Niles
    Steve Niles is an American comic book writer and novelist best known for his influential horror work, including co-creating the vampire series "30 Days of Night."
  • C. Brian K. Vaughan
    Brian K. Vaughan is an American comic book and television writer best known for acclaimed series such as Saga, Y: The Last Man, and his work on shows like Lost.
  • D. Ed Brubaker
    Ed Brubaker is an American comic book writer best known for his acclaimed runs on titles like Captain America, Daredevil, and Criminal, where he revitalized characters through noir-influenced, character-driven storytelling.
  • E. John Wagner
    John Wagner is a British comics writer best known for co-creating the iconic dystopian lawman Judge Dredd for the science fiction anthology 2000 AD.
  • 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_69b56b7833b081909bf5a87ee709b49f completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.