Triple

T19982347
Position Surface form Disambiguated ID Type / Status
Subject Law & Order: UK E493846 entity
Predicate stars P1956 FINISHED
Object Freema Agyeman NE NERFINISHED

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: Freema Agyeman | Statement: [Law & Order: UK, stars, Freema Agyeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freema Agyeman
Context triple: [Law & Order: UK, stars, Freema Agyeman]
  • A. Freema Agyeman chosen
    Freema Agyeman is a British actress best known for playing companion Martha Jones in the long-running science fiction series Doctor Who.
  • B. Olivia Williams
    Olivia Williams is a British actress known for her versatile performances in film, television, and theatre, including notable roles in works like "The Sixth Sense," "Rushmore," and "An Education."
  • C. Jessica Riley
    Jessica Riley is a flirtatious and popular teenager who is one of the playable protagonists in the horror video game Until Dawn.
  • D. Caroline Quentin
    Caroline Quentin is an English actress and television presenter best known for her comedic and dramatic roles in popular British series such as "Men Behaving Badly" and "Jonathan Creek."
  • E. Tamsin Greig
    Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d13a8a88190bf5f4f697793f4c9 completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.