Triple

T6126946
Position Surface form Disambiguated ID Type / Status
Subject Tulip Fever E136616 entity
Predicate castMember P1668 FINISHED
Object Joanna Scanlan E565481 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: Joanna Scanlan | Statement: [Tulip Fever, castMember, Joanna Scanlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joanna Scanlan
Context triple: [Tulip Fever, castMember, Joanna Scanlan]
  • A. Joanna Scanlan chosen
    Joanna Scanlan is a British actress and writer best known for her work on darkly comic television series such as "Getting On" and "The Thick of It."
  • B. Lisa Sheridan
    Lisa Sheridan is the troubled protagonist of the psychological thriller film "Obsessed," whose fixation drives the story's escalating tension and conflict.
  • C. Katherine Patrick
    Katherine Patrick is the daughter of former Massachusetts governor Deval Patrick and has occasionally appeared in public alongside her politically prominent family.
  • D. Joanna Blunt
    Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
  • E. Joanna Pettet
    Joanna Pettet is a British actress best known for her film and television work in the 1960s and 1970s, including prominent roles in movies like "Casino Royale" and various popular TV series.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c2a13a48190b80e11d58fc87c8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6384fece08190ba78bf08d7ee5d4a completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:15 p.m.