Triple

T14653673
Position Surface form Disambiguated ID Type / Status
Subject Two Lovers and a Bear E344053 entity
Predicate hasPolarSetting P115219 FINISHED
Object true 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: true | Statement: [Two Lovers and a Bear, hasPolarSetting, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPolarSetting
Context triple: [Two Lovers and a Bear, hasPolarSetting, true]
  • A. hasPolarCoverage
    Indicates that an entity includes or provides coverage, presence, or applicability in polar regions.
  • B. hasPolarRadius
    Indicates that an entity possesses a specific radius measured from its center to its pole, typically used for spheroidal or planetary bodies.
  • C. hasPolarEquation
    Indicates that an entity is associated with, or can be represented by, a specific equation expressed in polar coordinates.
  • D. hasPoleAt
    Indicates that one entity possesses, contains, or is associated with a pole located at a specific point or position.
  • E. hasEccentricSetting
    Indicates that something is characterized by an unusual, unconventional, or quirky setting or environment.
  • F. None of above. chosen

Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69de6576f0208190aa94d995e797ac38 completed April 14, 2026, 4:04 p.m.
PDg Predicate description generation batch_69de716c17cc8190aeb85296abee85a7 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:27 a.m.