Triple

T5957618
Position Surface form Disambiguated ID Type / Status
Subject Sy Bartlett E132555 entity
Predicate givenName P17 FINISHED
Object Sacha E204368 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: Sacha | Statement: [Sy Bartlett, givenName, Sacha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sacha
Context triple: [Sy Bartlett, givenName, Sacha]
  • A. Sacha chosen
    Sacha is a given name used in various cultures, often as a variant of Sasha and commonly serving as a diminutive of Alexander or Alexandra.
  • B. San Simon
    San Simon is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and proximity to major urban centers in Central Luzon.
  • C. Baquero
    Baquero is a Spanish surname most notably associated with actress Ivana Baquero, known for her role in the film "Pan's Labyrinth."
  • D. Satipo
    Satipo is a town in central Peru that serves as the capital of Satipo Province in the Junín Region, known for its tropical climate and proximity to Amazonian forests.
  • E. Satipo
    Satipo is a minor character in the film "Raiders of the Lost Ark," known as Indiana Jones's treacherous guide in the opening temple sequence.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c34ca881909a219eddf99348ab completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3dd99888190ac3eeef692a7d879 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.