Triple

T10211707
Position Surface form Disambiguated ID Type / Status
Subject The Judge's List E242343 entity
Predicate mainCharacter P1183 FINISHED
Object Lacy Stoltz E882925 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: Lacy Stoltz | Statement: [The Judge's List, mainCharacter, Lacy Stoltz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lacy Stoltz
Context triple: [The Judge's List, mainCharacter, Lacy Stoltz]
  • A. Lacy Stoltz chosen
    Lacy Stoltz is a Florida Board on Judicial Conduct investigator and the protagonist of John Grisham’s legal thriller "The Whistler."
  • B. Lacey Farrell
    Lacey Farrell is a young Manhattan real estate agent who becomes a key witness to a murder and is forced into witness protection in Mary Higgins Clark’s suspense novel "Pretend You Don’t See Her."
  • C. Kelley Phleger
    Kelley Phleger is an American socialite and former schoolteacher best known as the wife of actor Don Johnson.
  • D. Lynzee Klingman
    Lynzee Klingman was an American film editor known for her work on acclaimed films such as *One Flew Over the Cuckoo’s Nest* and *Little Man Tate*.
  • E. Lacey Pemberton
    Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa22071c819095febd18dd607978 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c79bc53481908552af9ebd582edf completed April 18, 2026, 6:04 p.m.
Created at: April 6, 2026, 11:01 a.m.