Triple

T12694800
Position Surface form Disambiguated ID Type / Status
Subject Bryan Devendorf E303302 entity
Predicate memberOf P10 FINISHED
Object Pfarmers E998249 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: Pfarmers | Statement: [Bryan Devendorf, memberOf, Pfarmers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pfarmers
Context triple: [Bryan Devendorf, memberOf, Pfarmers]
  • A. Pfarmers chosen
    Pfarmers is an experimental indie rock supergroup featuring members of bands like The National and Menomena.
  • B. Farmer
    Farmer is the NATO reporting name for the Soviet-designed Mikoyan-Gurevich MiG-19 supersonic fighter aircraft.
  • C. Farmer
    Farmer is a common English occupational surname originally given to people who worked in agriculture or collected taxes on farmed land.
  • D. Boeren
    Boeren is a popular nickname for PSV Eindhoven, one of the Netherlands’ most successful professional football clubs.
  • E. Farming
    "Farming" is a 2018 British drama film written and directed by Adewale Akinnuoye-Agbaje, based on his own experiences as a Nigerian child fostered to a white working-class family in the UK.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7c4c608190a1786accf8d86141 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:22 p.m.