Triple

T26701134
Position Surface form Disambiguated ID Type / Status
Subject Gene Hackman as Little Bill Daggett E673157 entity
Predicate notableVictimOfViolence P870 FINISHED
Object English Bob
English Bob is a notorious English gunfighter and braggart in the Western film "Unforgiven," whose violent encounter with Sheriff Little Bill Daggett exposes the myth of his reputation.
E1737033 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: English Bob | Statement: [Gene Hackman as Little Bill Daggett, notableVictimOfViolence, English Bob]
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: English Bob
Triple: [Gene Hackman as Little Bill Daggett, notableVictimOfViolence, English Bob]
Generated description
English Bob is a notorious English gunfighter and braggart in the Western film "Unforgiven," whose violent encounter with Sheriff Little Bill Daggett exposes the myth of his reputation.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableVictimOfViolence
Context triple: [Gene Hackman as Little Bill Daggett, notableVictimOfViolence, English Bob]
  • A. notableVictim chosen
    Indicates that the subject is a person or entity who is notably recognized as a victim of the object (such as an event, crime, or harmful action).
  • B. notableVictims
    Indicates that the object is a person or group who is especially well-known or significant as a victim of the subject.
  • C. victimsOfCrime
    Indicates that the subject has suffered harm or loss as a result of a criminal act committed by the object.
  • D. notableViolentCase
    Indicates that an entity is associated with a specific case or incident that is recognized as involving significant or noteworthy violence.
  • E. honorsVictimOf
    Indicates that one entity pays tribute or respect to another entity who has suffered harm, loss, or injustice.
  • 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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69ff0e9c75208190a4423261f00b79b3 completed May 9, 2026, 10:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11fe84649481909fb7c264323dfb9a completed May 23, 2026, 7:22 p.m.
NEDg Description generation batch_6a11ff162d588190a1f98429d7fe5154 completed May 23, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_6a11ff99fdbc81909fd5646fb32987a2 completed May 23, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69ff0e07f08481909c4ae322632a6bf0 completed May 9, 2026, 10:35 a.m.
Created at: April 27, 2026, 3:31 a.m.