Triple

T20391183
Position Surface form Disambiguated ID Type / Status
Subject The Mysteries of Laura E498086 entity
Predicate executiveProducer P7225 FINISHED
Object Jeff Rake E1429899 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: Jeff Rake | Statement: [The Mysteries of Laura, executiveProducer, Jeff Rake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Rake
Context triple: [The Mysteries of Laura, executiveProducer, Jeff Rake]
  • A. Jeff Rake chosen
    Jeff Rake is an American television writer and producer best known for creating series such as "Manifest" and other network dramas.
  • B. Doc Daugherty
    Doc Daugherty was an American songwriter best known for co-writing the jazz and pop standard "I'm Confessin' (That I Love You)."
  • C. Matthew Rhodes
    Matthew Rhodes is a film producer known for his work on projects such as the psychological thriller "The Voices."
  • D. Jim Grabb
    Jim Grabb is a former American professional tennis player best known for reaching world No. 1 in doubles and winning multiple Grand Slam doubles titles.
  • E. Bob Ryan
    Bob Ryan is a veteran American sportswriter and television personality best known for his long tenure covering the Boston Celtics and his work on ESPN’s “Around the Horn” and “Pardon the Interruption.”
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790f8d9c819093038f6bb6f47a92 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883ea99fc8190a554e095d2c3422f completed May 16, 2026, 2:49 p.m.
Created at: April 16, 2026, 11:28 a.m.