Triple

T26366410
Position Surface form Disambiguated ID Type / Status
Subject Helen Westcott E660345 entity
Predicate playedRoleIn P1668 FINISHED
Object Amy Fletcher in The Gunfighter
Amy Fletcher in *The Gunfighter* is the young wife of notorious gunman Jimmy Ringo, whose struggle to escape his violent past and reconnect with her and their son drives the film’s emotional core.
E1723138 NE 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: Amy Fletcher in The Gunfighter | Statement: [Helen Westcott, playedRoleIn, Amy Fletcher in The Gunfighter]
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: Amy Fletcher in The Gunfighter
Triple: [Helen Westcott, playedRoleIn, Amy Fletcher in The Gunfighter]
Generated description
Amy Fletcher in *The Gunfighter* is the young wife of notorious gunman Jimmy Ringo, whose struggle to escape his violent past and reconnect with her and their son drives the film’s emotional core.

Provenance (5 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_69ee8126d52c8190bc0b34337c2c9aa8 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f6102c248c8190886da68d61d006dc completed May 2, 2026, 2:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a6fa688819083622cfadea38010 completed May 23, 2026, 12:15 p.m.
NEDg Description generation batch_6a119c705b70819080eb0eb7ffa2492f completed May 23, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a119d7e21e08190a86e84784dfa9b03 completed May 23, 2026, 12:28 p.m.
Created at: April 26, 2026, 10:55 p.m.