Triple

T15548133
Position Surface form Disambiguated ID Type / Status
Subject Maryann Burk E370665 entity
Predicate spouse P13 FINISHED
Object Raymond Carver Jr. E59402 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: Raymond Carver Jr. | Statement: [Maryann Burk, spouse, Raymond Carver Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Carver Jr.
Context triple: [Maryann Burk, spouse, Raymond Carver Jr.]
  • A. Raymond Carver chosen
    Raymond Carver was an American short story writer and poet renowned for his minimalist, emotionally resonant depictions of working-class life.
  • B. Rubin Carver
    Rubin Carver is a fictional character portrayed by Paulo Costanzo in the comedy film "Road Trip."
  • C. Denis Johnson
    Denis Johnson was an American writer acclaimed for his haunting, lyrical fiction and poetry, best known for works like "Jesus' Son" and the National Book Award–winning novel "Tree of Smoke."
  • D. Tobias Wolff
    Tobias Wolff is an American author and memoirist renowned for his autobiographical works and short stories exploring memory, identity, and moral ambiguity.
  • E. Frank Carver
    Frank Carver is the central protagonist of the film "Love Hurts," around whom the story’s emotional and relational conflicts revolve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56bdbca08190b5eb541c5eb4bb09 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:08 a.m.