Triple

T34938375
Position Surface form Disambiguated ID Type / Status
Subject Tell the Women We're Going E1007643 entity
Predicate protagonist P268 FINISHED
Object Jerry
Jerry is the central character in Raymond Carver’s short story "Tell the Women We’re Going," whose actions drive the narrative’s exploration of male frustration and sudden violence.
E2000941 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: Jerry | Statement: [Tell the Women We're Going, protagonist, Jerry]
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: Jerry
Triple: [Tell the Women We're Going, protagonist, Jerry]
Generated description
Jerry is the central character in Raymond Carver’s short story "Tell the Women We’re Going," whose actions drive the narrative’s exploration of male frustration and sudden violence.

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_69f76dc513fc819084a1ff52abbfa5bc completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782936e38819085bbc8017cb5347f completed May 3, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cfd3b90081909a770e42d931950d completed June 21, 2026, 11:49 a.m.
NEDg Description generation batch_6a37d07ba708819081b552b8a69313e5 completed June 21, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a37d1935d9881909cee3755fec2d996 completed June 21, 2026, 11:57 a.m.
Created at: May 3, 2026, 4 p.m.