Triple

T5692897
Position Surface form Disambiguated ID Type / Status
Subject MRC E125467 entity
Predicate notableWork P4 FINISHED
Object Babel E427897 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: [MRC, notableWork, Babel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babel
Context triple: [MRC, notableWork, Babel]
  • A. Babel
    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 chosen
    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. Bable
    Bable is another name for the Asturian language, a Romance language spoken primarily in the Asturias region of northern Spain.
  • E. Babbalanja
    Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.