Triple

T7166700
Position Surface form Disambiguated ID Type / Status
Subject Five Go to Smuggler's Top E167085 entity
Predicate hasAnimalCharacter P25502 FINISHED
Object dog Timmy E166339 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: dog Timmy | Statement: [Five Go to Smuggler's Top, hasAnimalCharacter, dog Timmy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: dog Timmy
Context triple: [Five Go to Smuggler's Top, hasAnimalCharacter, dog Timmy]
  • A. Timmy the dog chosen
    Timmy the dog is the loyal and resourceful canine companion in Enid Blyton’s Famous Five adventure series.
  • B. Dog Unit
    Dog Unit is a specialist section of the New South Wales Police Force that trains and deploys police dogs for tasks such as tracking, detection, and public order operations.
  • C. Pooch
    Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
  • D. Bear the dog
    Bear the dog is a fictional canine companion character from Salman Rushdie’s fantasy novel "Luka and the Fire of Life."
  • E. Timmy
    Timmy is the loyal dog who accompanies the Famous Five on their adventures in Enid Blyton’s classic children’s novel "Five on a Treasure Island."
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85a07388190a07054ef12870fa1 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adced6b48190bcae9af88f640584 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:48 p.m.