Triple

T11249505
Position Surface form Disambiguated ID Type / Status
Subject Grounded E266288 entity
Predicate playerCharacter P41757 FINISHED
Object shrunken teenager 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: shrunken teenager | Statement: [Grounded, playerCharacter, shrunken teenager]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: playerCharacter
Context triple: [Grounded, playerCharacter, shrunken teenager]
  • A. mainProtagonist
    Indicates that the subject is the central character or primary focus in the narrative of the related work.
  • B. currentCharacter chosen
    Indicates that an entity is the character presently in focus or being actively considered in a given context or sequence.
  • C. character1
    Indicates that the subject is identified as the first or primary character in a narrative or context.
  • D. componentCharacter1
    Indicates that one entity is the first (primary) character component or constituent part of another entity.
  • E. controllingCharacter
    Indicates that one character exerts control, influence, or authority over another character.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e93212448190b46b3799b0bdfa0f completed April 9, 2026, 6 p.m.
PD Predicate disambiguation batch_69d78793c00481908a3f764b610b77a4 completed April 9, 2026, 11:03 a.m.
Created at: April 8, 2026, 9:31 p.m.