Triple

T34367470
Position Surface form Disambiguated ID Type / Status
Subject Will Kane E882053 entity
Predicate facesAntagonistGroup P17627 FINISHED
Object Frank Miller gang
The Frank Miller gang is the outlaw group of gunmen who serve as the primary antagonists threatening Marshal Will Kane in the classic Western film "High Noon."
 E2093174 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 Miller gang | Statement: [Will Kane, facesAntagonistGroup, Frank Miller gang]
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 Miller gang
Triple: [Will Kane, facesAntagonistGroup, Frank Miller gang]
Generated description
The Frank Miller gang is the outlaw group of gunmen who serve as the primary antagonists threatening Marshal Will Kane in the classic Western film "High Noon."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: facesAntagonistGroup
Context triple: [Will Kane, facesAntagonistGroup, Frank Miller gang]
  • A. facesAntagonistType
    Indicates that an entity confronts or opposes an antagonist of a specified type.
  • B. hasAntagonistGroup chosen
    Indicates that an entity is opposed or challenged by a specific group acting as its antagonist.
  • C. featuresAntagonistEntity
    Indicates that the subject includes or involves an entity serving as an antagonist in the context of a narrative, interaction, or scenario.
  • D. antagonistOf
    Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
  • E. antagonistAlterEgoOf
    Indicates that one entity serves as the primary opposing force or enemy of another entity’s alternate identity or secret persona.
  • 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_69f349be5c9c81908dc726ae1f4c68f2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71c35327c8190884f1bfe12bd2cd7 completed May 3, 2026, 9:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3704abf27c8190a24571305c358eb5 completed June 20, 2026, 9:22 p.m.
NEDg Description generation batch_6a37058d9864819088afc4a2160ad876 completed June 20, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_6a370623291481909be4c2276969d415 completed June 20, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69f71822d0e88190ac9731c7ae5a4def completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 1:58 a.m.