Triple

T3651519
Position Surface form Disambiguated ID Type / Status
Subject Fantasy E77426 entity
Predicate photographer P12333 FINISHED
Object Jim McCrary E374813 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: Jim McCrary | Statement: [Fantasy, photographer, Jim McCrary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim McCrary
Context triple: [Fantasy, photographer, Jim McCrary]
  • A. Jim McCrary chosen
    Jim McCrary was an American photographer and album cover designer best known for creating iconic covers for major artists in the 1960s and 1970s, including Carole King’s "Tapestry."
  • B. Tim McDermott
    Tim McDermott is a sports executive known for his leadership role with Major League Soccer’s Philadelphia Union.
  • C. Jerry Douglas
    Jerry Douglas is an acclaimed American dobro and lap steel guitar player renowned for his innovative contributions to bluegrass and country music.
  • D. Waddy Butler Wood
    Waddy Butler Wood was an American architect known for his influential early 20th-century designs in Washington, D.C., including notable residential and public buildings.
  • E. Sam O'Steen
    Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b664448190986b5223d59de282 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cde0425081909ca15dba0bcc3fc4 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:24 p.m.