Triple

T9255348
Position Surface form Disambiguated ID Type / Status
Subject Mark Farmer E222426 entity
Predicate knownFor P22 FINISHED
Object Minder E738613 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: Minder | Statement: [Mark Farmer, knownFor, Minder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minder
Context triple: [Mark Farmer, knownFor, Minder]
  • A. Minder chosen
    Minder is a British comedy-drama television series that follows the misadventures of a lovable wheeler-dealer and his bodyguard in London's criminal underworld.
  • B. Mankessim
    Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
  • C. Minin
    Minin is a Russian surname most famously borne by Kuzma Minin, a merchant from Nizhny Novgorod who became a national hero for organizing resistance against Polish invaders in the early 17th century.
  • D. Minories
    Minories is a street and surrounding area in the City of London, historically known for its proximity to the Tower of London and its role as a key thoroughfare in the eastern part of the city.
  • E. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b3c314819096632b8263288aae completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09bde36688190bf66669f585dcee7 completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:31 p.m.