Triple

T14335689
Position Surface form Disambiguated ID Type / Status
Subject Mad Catz E355460 entity
Predicate hasBrand P1500 FINISHED
Object Tritton E718865 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: Tritton | Statement: [Mad Catz, hasBrand, Tritton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tritton
Context triple: [Mad Catz, hasBrand, Tritton]
  • A. Tritton chosen
    Tritton is a surname most notably associated with the British engineering and shipbuilding firm Rendel, Palmer and Tritton.
  • B. Trawden
    Trawden is a rural village and civil parish in Lancashire, England, known for its moorland scenery and former textile mill heritage.
  • C. Totton
    Totton is a town in Hampshire, England, situated near the River Test on the outskirts of the New Forest and close to the city of Southampton.
  • D. Thankerton
    Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
  • E. Trowell
    Trowell is a village in Nottinghamshire, England, known for its rural character and location near the Erewash Canal and the Nottingham–Derby urban area.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c20d2148190bb534bef338e871d completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46986758819088750150ad47bae1 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.