Triple

T16648751
Position Surface form Disambiguated ID Type / Status
Subject Murder on the Orient Express (1974 film) E404544 entity
Predicate character P662 FINISHED
Object Bianchi E536753 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: Bianchi | Statement: [Murder on the Orient Express (1974 film), character, Bianchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bianchi
Context triple: [Murder on the Orient Express (1974 film), character, Bianchi]
  • A. Bianchi chosen
    Bianchi is an Italian surname associated with various notable individuals in fields such as sports, politics, and the arts.
  • B. Bianchi class A
    Bianchi class A is a subset of spatially homogeneous cosmological models characterized by structure constants with vanishing trace, often used in general relativity to study anisotropic universes.
  • C. Gimondi
    Gimondi is an Italian surname most famously associated with Felice Gimondi, one of Italy’s greatest professional road cyclists.
  • D. Bianchi class B
    Bianchi class B is a subset of spatially homogeneous but anisotropic cosmological models in general relativity characterized by specific non-unimodular Lie algebra structures of their isometry groups.
  • E. Canelli
    Canelli is a town in Italy’s Piedmont region renowned for its historic wine production and UNESCO-listed underground wine cellars.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad794388190b2817d2ec5ff0de0 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084c2a8448190a9f05bc7e1ce7a05 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:18 a.m.