Triple

T29131785
Position Surface form Disambiguated ID Type / Status
Subject Mr. Freedom E738398 entity
Predicate hasSuperheroProtagonist P47331 FINISHED
Object yes 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: yes | Statement: [Mr. Freedom, hasSuperheroProtagonist, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSuperheroProtagonist
Context triple: [Mr. Freedom, hasSuperheroProtagonist, yes]
  • A. hasEponymousHero
    Indicates that a work or narrative features a hero whose name is the same as, or gives its name to, the work itself.
  • B. hasHumanProtagonists
    Indicates that the primary characters driving the narrative are human beings rather than non-human entities.
  • C. hasSuperheroMantle
    Indicates that one entity holds or has assumed the superhero identity, title, or role associated with another entity.
  • D. heroDepicted
    Indicates that one entity is portrayed or represented as a hero in relation to another entity.
  • E. superheroStatus chosen
    Indicates that an entity possesses the qualities, role, or designation of being a superhero, such as having heroic abilities, identity, or status.
  • 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_69f07cb29cdc8190afa55444553de60c completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69fd7e364a648190a1e9e1d9fc76e99e completed May 8, 2026, 6:09 a.m.
PD Predicate disambiguation batch_69fd7bb547608190a3b04dddbca6b8bc completed May 8, 2026, 5:59 a.m.
Created at: April 28, 2026, 11:32 a.m.