Triple

T5310483
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Faber E119013 entity
Predicate familyName P18 FINISHED
Object Faber E240981 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: Faber | Statement: [Geoffrey Faber, familyName, Faber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faber
Context triple: [Geoffrey Faber, familyName, Faber]
  • A. Faber
    Faber is a retired English professor in Ray Bradbury’s dystopian novel "Fahrenheit 451" who secretly mentors the protagonist and represents the value of literature and critical thought in a censored society.
  • B. Faber chosen
    Faber is a surname most notably associated with Sandra Faber, an influential American astronomer and cosmologist.
  • C. Faber Factory
    Faber Factory is a digital publishing and distribution imprint associated with the British publishing house Faber and Faber, focused on helping publishers and authors manage and distribute e-books.
  • D. Faber and Faber
    Faber and Faber is a renowned independent British publishing house known for its influential catalog of literary fiction, poetry, and drama.
  • E. Faber Social
    Faber Social is a specialist imprint of Faber and Faber focused on publishing books at the intersection of music, culture, and literature.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd85343ae08190bd9801ea4eac7003 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf11033c448190ab64600913ee8a9c completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.