Triple

T4374792
Position Surface form Disambiguated ID Type / Status
Subject Tiger Woods (biography) E98978 entity
Predicate publisher P29 FINISHED
Object Simon & Schuster E3658 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: Simon & Schuster | Statement: [Tiger Woods (biography), publisher, Simon & Schuster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon & Schuster
Context triple: [Tiger Woods (biography), publisher, Simon & Schuster]
  • A. Simon & Schuster chosen
    Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
  • B. Random House
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • C. Henry Holt
    Henry Holt was an American publisher and co-founder of the prominent New York publishing house Henry Holt and Company in the late 19th century.
  • D. HarperCollins
    HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
  • E. 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.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352222df48190bead639e99635faf completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b67b99c00481908b846c610bd29993 completed March 15, 2026, 9:27 a.m.
Created at: March 12, 2026, 11:18 p.m.