Triple

T9113310
Position Surface form Disambiguated ID Type / Status
Subject Pip Torrens E218658 entity
Predicate name P16 FINISHED
Object Pip Torrens E218658 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: Pip Torrens | Statement: [Pip Torrens, name, Pip Torrens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pip Torrens
Context triple: [Pip Torrens, name, 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. 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.
  • C. Pip Williams
    Pip Williams is a child of Rowan Williams, the former Archbishop of Canterbury and prominent theologian.
  • D. Pip Baker
    Pip Baker was a British television writer best known for co-writing several 1980s Doctor Who serials with his wife Jane Baker.
  • E. Pip Karmel
    Pip Karmel is an Australian film editor and director best known for her acclaimed editing work on the film "Shine."
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03052716c8190835b0d3357a29ce5 completed April 3, 2026, 9:25 p.m.
Created at: March 30, 2026, 7:16 p.m.