Triple

T3624321
Position Surface form Disambiguated ID Type / Status
Subject Michelle Gomez E76799 entity
Predicate notableWork P4 FINISHED
Object Doom Patrol E179843 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: Doom Patrol | Statement: [Michelle Gomez, notableWork, Doom Patrol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doom Patrol
Context triple: [Michelle Gomez, notableWork, Doom Patrol]
  • A. Doom Patrol chosen
    Doom Patrol is a DC Comics-based television series that follows a dysfunctional team of misfit superheroes dealing with bizarre threats and their own traumatic pasts.
  • B. Mister Miracle
    Mister Miracle is a DC Comics superhero and master escape artist created by Jack Kirby as part of his Fourth World saga.
  • C. B.P.R.D.
    B.P.R.D. (Bureau for Paranormal Research and Defense) is a fictional organization in the Hellboy comic universe that investigates and combats supernatural and occult threats.
  • D. Legion
    "Legion" is a 2010 supernatural action-horror film in which archangel Michael defies God to protect humanity from an impending apocalypse.
  • E. Legion
    Legion is Lenovo's gaming-focused brand of high-performance laptops, desktops, and related PC hardware.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2d9845c8190ad65b2471000dfa0 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332260cc8190964a15bfee0a3b61 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.