Triple

T16580256
Position Surface form Disambiguated ID Type / Status
Subject Forest of the Dead E402809 entity
Predicate guestStars P45889 FINISHED
Object Talulah Riley E866494 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: Talulah Riley | Statement: [Forest of the Dead, guestStars, Talulah Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talulah Riley
Context triple: [Forest of the Dead, guestStars, Talulah Riley]
  • A. Talulah Riley chosen
    Talulah Riley is an English actress known for her roles in films such as "Pride and Prejudice" (2005) and "Inception," as well as the TV series "Westworld."
  • B. Jamie-Lee O’Donnell
    Jamie-Lee O’Donnell is a Northern Irish actress best known for her comedic role as Michelle Mallon in the television series "Derry Girls."
  • C. Eleanor Tomlinson
    Eleanor Tomlinson is an English actress best known for her roles in films like Jack the Giant Slayer and the television series Poldark.
  • D. Connie Fisher
    Connie Fisher is a Welsh singer and actress best known for winning the BBC talent show "How Do You Solve a Problem Like Maria?" and subsequently starring in the West End revival of The Sound of Music.
  • E. Lia Williams
    Lia Williams is a British actress and director known for her work in film, television, and theatre, including acclaimed performances in productions such as "The Crown" and "The Foreigner."
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35960834c819080eed0c9f32b881d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00b278f85081909b3dd5ae5dbc4f8a completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:16 a.m.