Triple

T32012090
Position Surface form Disambiguated ID Type / Status
Subject Miss Martian’s human form (M'gann M'orzz) on Supergirl E817432 entity
Predicate sharesBackstoryElementWith P3438 FINISHED
Object J'onn J'onzz as Martian genocide survivor LITERAL 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: J'onn J'onzz as Martian genocide survivor | Statement: [Miss Martian’s human form (M'gann M'orzz) on Supergirl, sharesBackstoryElementWith, J'onn J'onzz as Martian genocide survivor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesBackstoryElementWith
Context triple: [Miss Martian’s human form (M'gann M'orzz) on Supergirl, sharesBackstoryElementWith, J'onn J'onzz as Martian genocide survivor]
  • A. sharesStoryElementsWith
    Indicates that two narratives or works have overlapping or similar plot points, themes, characters, or other storytelling components.
  • B. sharesHistoryWith chosen
    Indicates that two entities have a common or overlapping past, such as shared experiences, events, or origins.
  • C. sharesWith
    Indicates that one entity gives another entity access to or use of something it possesses.
  • D. sharesItem
    Indicates that one entity provides access to or distributes an item to another entity.
  • E. sharesTimelineWith
    Indicates that two entities participate in or are associated with the same timeline, sequence of events, or temporal context.
  • F. None of above.

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_69f348f9e5d081908cc3f57c4942af52 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff3b32ee148190a3ba3b7600943fef completed May 9, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69ff3a238af88190a2c2245e30299e48 completed May 9, 2026, 1:44 p.m.
Created at: May 1, 2026, 12:15 a.m.