Triple

T14874117
Position Surface form Disambiguated ID Type / Status
Subject Phoebe in Wonderland E349822 entity
Predicate producer P490 FINISHED
Object Lynette Howell E1142716 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: Lynette Howell | Statement: [Phoebe in Wonderland, producer, Lynette Howell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynette Howell
Context triple: [Phoebe in Wonderland, producer, Lynette Howell]
  • A. Lynette Howell chosen
    Lynette Howell is a film producer known for her work on acclaimed independent and studio films, including "The Place Beyond the Pines."
  • B. Lynette White
    Lynette White is a character in the television series "The District," which follows the professional and personal lives of law enforcement officials in Washington, D.C.
  • C. Lynnette Armstrong
    Lynnette Armstrong is a notable individual recognized for achievements significant enough to be associated with the surname Armstrong.
  • D. Lynette Wittstock
    Lynette Wittstock is the mother of Princess Charlene of Monaco and the maternal grandmother of Princess Gabriella of Monaco.
  • E. Lynette
    Lynette is a character in the novel and film "The Nanny Diaries," appearing in the story’s depiction of wealthy New York family life.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fedd1de868819084d71f75210d14f5 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 1:55 a.m.