Triple

T29636165
Position Surface form Disambiguated ID Type / Status
Subject VQ-VAE E755720 entity
Predicate usesTrick P71441 FINISHED
Object straight-through estimator LITERAL 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: straight-through estimator | Statement: [VQ-VAE, usesTrick, straight-through estimator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesTrick
Context triple: [VQ-VAE, usesTrick, straight-through estimator]
  • A. tricked
    Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
  • B. usesDeceptionTo
    Indicates that one entity employs deceit or misleading tactics in order to influence, manipulate, or achieve an outcome involving another entity.
  • C. hasTrickType
    Indicates that an entity (such as a trick or maneuver) is associated with a specific type or category of trick.
  • D. gimmick chosen
    Indicates that an entity uses or features a novel, attention-grabbing trick or device primarily intended to attract interest rather than provide substantive value.
  • E. performedTrick
    Indicates that one entity executed or carried out a trick involving another entity or in a particular context.
  • F. None of above.

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_69f0ef88fbe081908f0ad90c1c413f1c completed April 28, 2026, 5:34 p.m.
NER Named-entity recognition batch_69f7117e55908190a67105e92bc4830f completed May 3, 2026, 9:12 a.m.
PD Predicate disambiguation batch_69f70f380690819090cc34763ba460ed completed May 3, 2026, 9:02 a.m.
Created at: April 28, 2026, 6:44 p.m.