Triple

T37713151
Position Surface form Disambiguated ID Type / Status
Subject Human Torch (Jim Hammond) E939391 entity
Predicate creatorCharacterInUniverse P194855 FINISHED
Object Professor Phineas T. Horton NE NERFINISHED

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: Professor Phineas T. Horton | Statement: [Human Torch (Jim Hammond), creatorCharacterInUniverse, Professor Phineas T. Horton]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: creatorCharacterInUniverse
Context triple: [Human Torch (Jim Hammond), creatorCharacterInUniverse, Professor Phineas T. Horton]
  • A. createdByCharacterInUniverse
    Indicates that something (such as a work, object, or concept) was created by a specific character within a particular fictional universe.
  • B. creatorOfCharacter
    Indicates that one entity is the originator or author who created or conceived the other entity as a character.
  • C. characterCreator chosen
    Indicates that one entity is the creator or originator of a character associated with another entity.
  • D. fictionalCharacterFrom
    Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
  • E. fictionalUniverseRole
    Indicates the role or function an entity has within a particular fictional universe or narrative setting.
  • 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_69f76edb49dc8190b951dce9ce6ef789 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ffef812da48190b875a7376b24f92d completed May 10, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69ffedecd580819097851b1473fdd6ed completed May 10, 2026, 2:31 a.m.
Created at: May 3, 2026, 4:18 p.m.