Triple

T2273305
Position Surface form Disambiguated ID Type / Status
Subject Bantam Books E50710 entity
Predicate foundedBy P104 FINISHED
Object Ian Ballantine E102855 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: Ian Ballantine | Statement: [Bantam Books, foundedBy, Ian Ballantine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Ballantine
Context triple: [Bantam Books, foundedBy, Ian Ballantine]
  • A. Boni & Liveright
    Boni & Liveright was an influential early 20th-century American publishing house known for championing modernist and avant-garde literature.
  • B. Alfred A. Knopf
    Alfred A. Knopf is a prestigious American publishing house known for its high-quality literary fiction and nonfiction titles.
  • C. Faber
    Faber is a surname most notably associated with Sandra Faber, an influential American astronomer and cosmologist.
  • D. 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.
  • E. Ballantine Books chosen
    Ballantine Books is a major American book publisher, best known as a long-standing imprint of Random House that has released a wide range of popular fiction and nonfiction titles.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ea6cc88190982527774223127f completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ddc66c81909525394a8b2bb4e0 completed March 9, 2026, 7:08 a.m.
Created at: March 4, 2026, 7:48 p.m.