Triple

T10982869
Position Surface form Disambiguated ID Type / Status
Subject Alexander Macmillan E259551 entity
Predicate employer P7 FINISHED
Object Macmillan Publishers E48100 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: Macmillan Publishers | Statement: [Alexander Macmillan, employer, Macmillan Publishers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macmillan Publishers
Context triple: [Alexander Macmillan, employer, Macmillan Publishers]
  • A. Macmillan Publishers chosen
    Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
  • B. HarperCollins
    HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
  • C. Penguin Random House
    Penguin Random House is a major global trade book publisher known for its extensive catalog of fiction and nonfiction titles across numerous imprints.
  • D. Pan Macmillan
    Pan Macmillan is a major British publishing house known for producing a wide range of fiction and non-fiction titles by prominent authors.
  • E. The Macmillan Company
    The Macmillan Company was a major American publishing house known for producing influential works in literature, education, and academic scholarship from the late 19th through the 20th century.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772eb518c8190a885a417815f2ff6 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4418e52f8819096c75e6e866fecef completed April 19, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:24 p.m.