Triple

T9330743
Position Surface form Disambiguated ID Type / Status
Subject Samuel Taylor E224514 entity
Predicate wrotePlay P2831 FINISHED
Object Sabrina Fair E792477 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: Sabrina Fair | Statement: [Samuel Taylor, wrotePlay, Sabrina Fair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabrina Fair
Context triple: [Samuel Taylor, wrotePlay, Sabrina Fair]
  • A. Sabrina Fair chosen
    Sabrina Fair is a romantic comedy play by Samuel Taylor that inspired the classic Audrey Hepburn film "Sabrina."
  • B. Sabrina Le Beauf
    Sabrina Le Beauf is an American actress best known for playing Sondra Huxtable on the hit television sitcom "The Cosby Show."
  • C. Sabrina Lloyd
    Sabrina Lloyd is an American actress best known for her roles on the television series "Sports Night" and "Sliders."
  • D. Sabrina Plisco
    Sabrina Plisco is a film editor known for her work on major feature films, including the fantasy musical sequel "Disenchanted."
  • E. Sabrina
    Sabrina is the granddaughter of Iris Chase, a central character in Margaret Atwood’s novel "The Blind Assassin."
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ae4fcc81909be75d51e2dc455d completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3b37b408190957c371233d8a3bd completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:39 p.m.