Triple

T20995140
Position Surface form Disambiguated ID Type / Status
Subject The Nevers E517126 entity
Predicate leadActor P1507 FINISHED
Object Pip Torrens 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: Pip Torrens | Statement: [The Nevers, leadActor, Pip Torrens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pip Torrens
Context triple: [The Nevers, leadActor, Pip Torrens]
  • A. Pip Torrens chosen
    Pip Torrens is a British actor known for his character roles in film and television, including appearances in series such as "Patrick Melrose," "The Crown," and "Preacher."
  • B. Pip Pearce
    Pip Pearce is an actor known for his role in the horror film "The Woman in Black 2: Angel of Death."
  • C. Noël Piper
    Noël Piper is an American Christian author and speaker known for her writings on faith, family, and hospitality, and for her long-time ministry partnership with her husband, theologian John Piper.
  • D. Pip Williams
    Pip Williams is a child of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
  • E. Pip Baker
    Pip Baker was a British television writer best known for co-writing several 1980s Doctor Who serials with his wife Jane Baker.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1fd5d48190a56981cee95ebd69 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.