Triple

T11996471
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Arriaga E285542 entity
Predicate notableWork P4 FINISHED
Object Babel E78917 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: Babel | Statement: [Guillermo Arriaga, notableWork, Babel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babel
Context triple: [Guillermo Arriaga, notableWork, Babel]
  • A. Babel chosen
    Babel is a 2006 multi-narrative drama film directed by Alejandro González Iñárritu that interweaves interconnected stories across several countries to explore themes of communication, misfortune, and cultural misunderstanding.
  • B. Babel
    Babel is a widely used JavaScript compiler that transforms modern ECMAScript code into backward-compatible versions for older environments and tooling.
  • C. Babel
    Babel is a notable work by Japanese dancer and choreographer Yuriko Kikuchi (also known as Yuriko), reflecting her influential contributions to modern dance.
  • D. Babel
    Babel is the second studio album by British folk rock band Mumford & Sons, known for its anthemic sound and commercial success, including winning the Grammy Award for Album of the Year.
  • E. Babel
    Babel is a surname most famously associated with Isaac Babel, the Russian-Jewish writer known for his innovative short stories and depictions of early Soviet life.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c172788190b92042e9d10a48bf completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ad06350819094180403858db172 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.