Triple

T30619286
Position Surface form Disambiguated ID Type / Status
Subject The Tall T E779400 entity
Predicate hasVillainCharacter P32100 FINISHED
Object Frank Usher
Frank Usher is the calculating outlaw leader who serves as the primary antagonist in the 1957 Western film "The Tall T."
 E1925032 NE FINISHED

How this triple was built (3 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: Frank Usher | Statement: [The Tall T, hasVillainCharacter, Frank Usher]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frank Usher
Triple: [The Tall T, hasVillainCharacter, Frank Usher]
Generated description
Frank Usher is the calculating outlaw leader who serves as the primary antagonist in the 1957 Western film "The Tall T."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasVillainCharacter
Context triple: [The Tall T, hasVillainCharacter, Frank Usher]
  • A. hasVillain chosen
    Indicates that one entity is the villain or primary antagonist associated with another entity.
  • B. isTypeOfVillain
    Indicates that one entity is classified as a particular type or category of villain in relation to another entity.
  • C. featuresVillainActor
    Indicates that the subject includes or presents an actor in the role of a villain.
  • D. hasAntagonisticProtagonist
    Indicates that the work features a main character who opposes or undermines the typical heroic or moral expectations of a traditional protagonist.
  • E. fullyIntroducedAsAntagonistIn
    Indicates that an entity is completely and explicitly presented in a work as an antagonist within the specified context or narrative.
  • F. None of above.

Provenance (6 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_69f224a3307081909a6dca8ca75dbf48 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7b5ccbda481908fe1945c35e36ce8 completed May 3, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863e405788190871cc7b400076e26 completed June 9, 2026, 7:05 p.m.
NEDg Description generation batch_6a2864b0d14881909640d9616d96f1e0 completed June 9, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_6a286552416081909d1352b5b418beeb completed June 9, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69f7b4c06f5881908f0b98cad6796478 completed May 3, 2026, 8:49 p.m.
Created at: April 29, 2026, 8:26 p.m.