Triple

T16544261
Position Surface form Disambiguated ID Type / Status
Subject Surya Bonaly E401900 entity
Predicate givenName P17 FINISHED
Object Surya E102111 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: Surya | Statement: [Surya Bonaly, givenName, Surya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surya
Context triple: [Surya Bonaly, givenName, Surya]
  • A. Surya chosen
    Surya is the Hindu sun god revered as a major solar deity associated with light, power, and vitality.
  • B. Solnice
    Solnice is a small town in the Hradec Králové Region of the Czech Republic, known for its industrial facilities and proximity to the Orlické Mountains.
  • C. Inti
    Inti is the Incan sun god, revered as a principal deity associated with royal power, agriculture, and the cosmic order.
  • D. Saha
    Saha is a surname most notably associated with Indian astrophysicist Meghnad Saha, known for the Saha ionization equation in stellar astrophysics.
  • E. Saha
    Saha is a small town in the Ambala district of the northern Indian state of Haryana, known primarily as a local commercial and transport hub for surrounding rural areas.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34560daf08190b353b415d8ab280d completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b3248c8190b63793bfc072aa4f completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.