Triple

T10089357
Position Surface form Disambiguated ID Type / Status
Subject Guy Endore E215301 entity
Predicate wrote P2831 FINISHED
Object Babouk E840880 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: Babouk | Statement: [Guy Endore, wrote, Babouk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babouk
Context triple: [Guy Endore, wrote, Babouk]
  • A. Babouk chosen
    Babouk is a 1934 historical novel by Guy Endore that offers a radical, fictionalized account of the Haitian Revolution from the perspective of enslaved Africans.
  • B. Baba the Turk
    Baba the Turk is a bearded lady and flamboyant character in Igor Stravinsky’s opera *The Rake’s Progress*, known for her comic yet unsettling marriage to the protagonist Tom Rakewell.
  • C. Marwan the Donkey
    Marwan the Donkey is the derisive nickname of Marwan II, the last Umayyad caliph whose defeat led to the dynasty’s collapse and the rise of the Abbasid Caliphate.
  • D. Chérif
    Chérif is a family name of Arabic origin historically associated with notable North African figures such as Ahmed Bey ben Mohamed Chérif.
  • E. Zouzou
    Zouzou is a 1934 French musical film starring Josephine Baker, notable for being one of the first major French films to feature a Black woman in a leading role.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd057e32881908bf630559af94906 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cbe40d088190838819eac97c61e4 completed April 5, 2026, 8:53 p.m.
Created at: March 30, 2026, 9:01 p.m.