Triple

T16781383
Position Surface form Disambiguated ID Type / Status
Subject Mystery Men E407863 entity
Predicate castMember P1668 FINISHED
Object Claire Forlani E154557 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: Claire Forlani | Statement: [Mystery Men, castMember, Claire Forlani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Forlani
Context triple: [Mystery Men, castMember, Claire Forlani]
  • A. Claire Forlani chosen
    Claire Forlani is an English actress best known for her roles in films such as "Meet Joe Black," "Mallrats," and "Basquiat."
  • B. Julia Ormond
    Julia Ormond is a British actress known for her roles in films such as "Legends of the Fall," "Sabrina," and "The Curious Case of Benjamin Button."
  • C. Linda Cardellini
    Linda Cardellini is an American actress known for her versatile roles in film and television, including prominent performances in "Freaks and Geeks," "ER," "Bloodline," and as Laura Barton in the Marvel Cinematic Universe.
  • D. Kelly Reilly
    Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
  • E. Melanie Truhett
    Melanie Truhett is an American television producer and talent manager known for her work in comedy and for her long-time collaboration and marriage with comedian Brian Posehn.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b216726881908ddc9cdc772cd5e4 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab0300e48190ad088cd11098ca34 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.