Triple

T10997032
Position Surface form Disambiguated ID Type / Status
Subject Jayma Mays E259899 entity
Predicate televisionSeries P3279 FINISHED
Object Trial & Error E371112 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: Trial & Error | Statement: [Jayma Mays, televisionSeries, Trial & Error]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trial & Error
Context triple: [Jayma Mays, televisionSeries, Trial & Error]
  • A. Trial & Error chosen
    Trial & Error is an American sitcom-style legal comedy series known for its mockumentary format and John Lithgow’s acclaimed performance in its first season.
  • B. Try This
    Try This is the third studio album by American singer Pink, known for its edgy pop-rock sound and rebellious themes.
  • C. Die Trying
    Die Trying is a thriller novel by Lee Child featuring ex-military drifter Jack Reacher as he becomes entangled in a violent kidnapping and conspiracy.
  • D. Try Me Again
    "Try Me Again" is a song featured on Linda Ronstadt's 1976 album *Hasten Down the Wind*.
  • E. Trying
    Trying is a British comedy-drama television series starring Rafe Spall that follows a couple navigating the challenges of adoption.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d20b448190958331705de3a9be completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374762c748190a8c83f3d6fa7b1d3 completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:24 p.m.