Triple

T3451283
Position Surface form Disambiguated ID Type / Status
Subject Vivaldi E72798 entity
Predicate usesEngine P2092 FINISHED
Object Blink E13758 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: Blink | Statement: [Vivaldi, usesEngine, Blink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blink
Context triple: [Vivaldi, usesEngine, Blink]
  • A. Blink chosen
    Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
  • B. Red Eye
    Red Eye is a 2005 psychological thriller film in which Cillian Murphy plays a charming but menacing terrorist who coerces a hotel manager during a tense overnight flight.
  • C. "Don't blink"
    "Don't blink" is the iconic warning associated with the Weeping Angels in Doctor Who, urging characters to avoid blinking to escape these predatory creatures.
  • D. BOLT
    BOLT is the Bombay Stock Exchange’s proprietary electronic trading platform used to facilitate fast, automated securities trading in India.
  • E. In the Blink of an Eye
    In the Blink of an Eye is a widely acclaimed book on the art and philosophy of film editing, written by renowned editor and sound designer Walter Murch.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7465248190947f9096e230e1c4 completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdce42688190b6f33b39649fedd7 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:16 p.m.