Triple

T2413075
Position Surface form Disambiguated ID Type / Status
Subject Spectacles E52238 entity
Predicate hasVersion P455 FINISHED
Object Spectacles 3 E52238 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: Spectacles 3 | Statement: [Spectacles, hasVersion, Spectacles 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spectacles 3
Context triple: [Spectacles, hasVersion, Spectacles 3]
  • A. Spectacles chosen
    Spectacles are Snap Inc.’s camera-equipped smart glasses designed to capture photos and videos hands-free for sharing on Snapchat.
  • B. Looking Glass
    Looking Glass was a prominent Nez Perce leader and war chief who played a key strategic role during the Nez Perce War of 1877.
  • C. RealD 3D
    RealD 3D is a widely used digital stereoscopic projection technology for cinemas that delivers immersive three-dimensional viewing using polarized glasses.
  • D. Kaleidoscope
    Kaleidoscope is the critically acclaimed 1999 debut studio album by American singer Kelis, known for its innovative fusion of R&B, hip hop, and electronic sounds.
  • E. Mirrors
    "Mirrors" is a 2013 pop and R&B ballad by Justin Timberlake, known for its reflective lyrics about lasting love and its expansive, multi-part production.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc92a4e1c8190819fa676295ac145 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf43c1fc8190ae66bd88ad4c7a6b completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:41 p.m.