Triple

T9966969
Position Surface form Disambiguated ID Type / Status
Subject Geppetto (Guillermo del Toro film character) E195706 entity
Predicate relationshipWithPinocchio P91703 FINISHED
Object adoptive father 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: adoptive father | Statement: [Geppetto (Guillermo del Toro film character), relationshipWithPinocchio, adoptive father]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipWithPinocchio
Context triple: [Geppetto (Guillermo del Toro film character), relationshipWithPinocchio, adoptive father]
  • A. fictionalCharacterAssociatedWith
    Indicates that there is a notable connection or association between a fictional character and another entity, such as a work, creator, or universe.
  • B. childInStory
    Indicates that one entity is a child character who appears within the narrative context of the other entity (a story).
  • C. relationshipToSanchoPanza
    Indicates the specific type of relationship or connection an entity has to Sancho Panza.
  • D. hasProtagonistRelationship
    Indicates that there exists a central, story-driving relationship involving the protagonist and another entity within a narrative.
  • E. relationshipToHuckFinn
    Indicates the specific type of personal or social relationship an entity has to Huck Finn.
  • F. None of above. chosen

Provenance (4 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71dc50081909329722dc087c9f6 completed April 2, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd36f112bc81908b473787e702de2f completed April 1, 2026, 3:17 p.m.
Created at: March 30, 2026, 8:47 p.m.