Triple

T17259275
Position Surface form Disambiguated ID Type / Status
Subject Andrea Barber E418968 entity
Predicate familyName P18 FINISHED
Object Barber E325104 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: Barber | Statement: [Andrea Barber, familyName, Barber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barber
Context triple: [Andrea Barber, familyName, Barber]
  • A. Barber chosen
    Barber is a common English occupational surname originally given to people who worked as barbers, cutting hair and performing grooming services.
  • B. the Barber
    The Barber is a comedic character from Monty Python’s “The Lumberjack Song,” serving as the narrator who reveals his unexpected dream of becoming a lumberjack.
  • C. The Barber
    The Barber is a comic supporting character in Miguel de Cervantes’ novel "Don Quixote," serving as a practical townsman who often contrasts with the protagonist’s delusions.
  • D. Floyd the Barber
    Floyd the Barber is a song by Nirvana, featured on their debut studio album "Bleach."
  • E. Barber Booth
    Barber Booth is a small hamlet in the Peak District of Derbyshire, England, known for its rural setting and proximity to popular walking routes near Edale.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6ea7588190a94d222504a8cef5 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017101d5dc8190ac6507344897b0f3 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.