Triple

T33529765
Position Surface form Disambiguated ID Type / Status
Subject Matt Fowler E858742 entity
Predicate takesActionAgainst P9769 FINISHED
Object Richard Strout
Richard Strout is a central character in Andre Dubus’s short story “Killings,” known as the man who murders Matt Fowler’s son and becomes the target of Fowler’s revenge.
 E891098 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: Richard Strout | Statement: [Matt Fowler, takesActionAgainst, Richard Strout]
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: Richard Strout
Triple: [Matt Fowler, takesActionAgainst, Richard Strout]
Generated description
Richard Strout is a central character in Andre Dubus’s short story “Killings,” known as the man who murders Matt Fowler’s son and becomes the target of Fowler’s revenge.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: takesActionAgainst
Context triple: [Matt Fowler, takesActionAgainst, Richard Strout]
  • A. actsOn chosen
    Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
  • B. antagonistActionOf
    Indicates that one entity performs an action in opposition or hostility toward another entity, acting as its antagonist.
  • C. actionBy
    Indicates that a particular action is performed or carried out by a specified agent or entity.
  • D. formOfAction
    Indicates that one action is a specific manner, variant, or implementation of another more general action.
  • E. strikeAction
    Indicates an action where one entity forcefully hits, attacks, or impacts another entity.
  • 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_69f34978caf4819083f90eba4944d8e8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f8164698819090c1b471f1caa4c6 completed May 3, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36cc624d50819082df15d9a7ab7d86 completed June 20, 2026, 5:22 p.m.
NEDg Description generation batch_6a36cd5b9ff48190b9e6d76abfff3295 completed June 20, 2026, 5:26 p.m.
NED2 Entity disambiguation (via description) batch_6a36ce3e3e48819091aece379948e411 completed June 20, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69f6f6619404819084662aef1238261c completed May 3, 2026, 7:16 a.m.
Created at: May 1, 2026, 1:39 a.m.