Triple

T18334859
Position Surface form Disambiguated ID Type / Status
Subject Dr. Larry Arbogast E439243 entity
Predicate portrayedByCharacterHeightRelative P131406 FINISHED
Object short 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: short | Statement: [Dr. Larry Arbogast, portrayedByCharacterHeightRelative, short]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayedByCharacterHeightRelative
Context triple: [Dr. Larry Arbogast, portrayedByCharacterHeightRelative, short]
  • A. portrayedByCharacterType
    Indicates that an entity is depicted or represented by a character of a specified type (e.g., hero, villain, sidekick) in a narrative or media work.
  • B. portrayedByCharacterAgeApprox
    Indicates that an entity is portrayed by a character whose age is approximately a specified value or age range.
  • C. representedByCharacter
    Indicates that one entity is depicted, symbolized, or personified by a particular character in a work or medium.
  • D. portrayedBy
    Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
  • E. portrayedAsFrom
    Indicates that one entity is depicted or represented as originating from, or belonging to, the place or source specified by another entity.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
PD Predicate disambiguation batch_69e44fe91bc08190906518e1b120fcf0 completed April 19, 2026, 3:45 a.m.
PDg Predicate description generation batch_69e4561d665081908ec555344e76d82b completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 10:36 a.m.