Triple

T12277437
Position Surface form Disambiguated ID Type / Status
Subject Peter Dinklage E292625 entity
Predicate notableWork P4 FINISHED
Object Pixels E236196 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: Pixels | Statement: [Peter Dinklage, notableWork, Pixels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pixels
Context triple: [Peter Dinklage, notableWork, Pixels]
  • A. Pixels chosen
    Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
  • B. Pixel
    Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
  • C. PIX
    PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
  • D. PIXL
    PIXL is a highly sensitive X-ray fluorescence spectrometer on NASA's Perseverance rover used to analyze the elemental composition of Martian rocks and soil at microscopic scales.
  • E. Pixel Forest
    Pixel Forest is an immersive, large-scale light and video installation by Swiss artist Pipilotti Rist that surrounds viewers with hanging LED elements to create a dreamlike, interactive environment.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6d72d081908c8697257df712f1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.