Triple

T12044367
Position Surface form Disambiguated ID Type / Status
Subject The Blue Book E286746 entity
Predicate inCollectionWith P1925 FINISHED
Object The Brown Book E286747 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: The Brown Book | Statement: [The Blue Book, inCollectionWith, The Brown Book]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Brown Book
Context triple: [The Blue Book, inCollectionWith, The Brown Book]
  • A. The Brown Book chosen
    The Brown Book is one of Ludwig Wittgenstein’s posthumously published lecture notes that outline his transitional philosophical ideas between the Tractatus and his later work in the Philosophical Investigations.
  • B. The Black Book
    The Black Book is a film featuring Portuguese actress Daniela Melchior in its cast.
  • C. The Black Book
    The Black Book is a crime novel in Ian Rankin’s Inspector Rebus series, known for its dark Edinburgh setting and intricate, long-buried secrets.
  • D. The Black Book
    The Black Book is a postmodern novel by Turkish author Orhan Pamuk that blends mystery, philosophical reflection, and Istanbul’s labyrinthine atmosphere to explore identity and storytelling.
  • E. The Black Book
    The Black Book is a 1949 American film noir thriller (also known as Reign of Terror) set during the French Revolution, noted for its dark, expressionistic style and political intrigue.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9041fe3b0819094b82a6b17ac59c3 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49db574bc8190a0f2f858a2ff788d completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.