Triple

T7738236
Position Surface form Disambiguated ID Type / Status
Subject Puzzle for the Secret Seven E175436 entity
Predicate mainCharacters P9202 FINISHED
Object Peter E644612 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: Peter | Statement: [Puzzle for the Secret Seven, mainCharacters, Peter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter
Context triple: [Puzzle for the Secret Seven, mainCharacters, Peter]
  • A. Peter
    Peter is a central character in Margaret Atwood's novel "The Edible Woman," serving as the protagonist Marian's conventional, marriage-minded fiancé who embodies societal expectations.
  • B. Peter
    Peter is the sensible and responsible leader of Enid Blyton’s Secret Seven children’s detective club.
  • C. Peter chosen
    Peter is the sensible, rule-abiding leader of Enid Blyton’s Secret Seven children’s detective club.
  • D. Peter
    Peter is a common male given name of Greek origin, widely used in many languages and cultures, often associated with the meaning "rock" or "stone."
  • E. Peter
    Peter is a central figure among Jesus’s apostles in the New Testament, traditionally regarded as the leader of the early Christian Church.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035a97688190bf93efeee2e365ec completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3db6a481909750c13f9141b84b completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.