Triple

T1949304
Position Surface form Disambiguated ID Type / Status
Subject Red Guards E42123 entity
Predicate usedSymbol P129 FINISHED
Object Little Red Book E42122 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: Little Red Book | Statement: [Red Guards, usedSymbol, Little Red Book]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Red Book
Context triple: [Red Guards, usedSymbol, Little Red Book]
  • A. Little Red Book chosen
    The Little Red Book is a widely distributed collection of political quotations by Chinese leader Mao Zedong that became a central propaganda and ideological text during the Cultural Revolution.
  • B. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • C. Momo
    Momo is the young, troubled Jewish boy who forms a transformative friendship with the elderly Muslim shopkeeper in Éric-Emmanuel Schmitt’s novella *Monsieur Ibrahim and the Flowers of the Koran*.
  • D. The Three Apples
    The Three Apples is a murder-mystery tale from the medieval Arabic collection One Thousand and One Nights, notable for its early use of detective-story elements and intricate storytelling.
  • E. The Red Rider
    "The Red Rider" is a 1934 American Western film serial featuring action-packed frontier adventure and starring Buck Jones.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3315df481908f60cd87453fbc03 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc17ce08190bd74c9c62d260326 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.