Triple

T16165804
Position Surface form Disambiguated ID Type / Status
Subject Tim Herlihy E392299 entity
Predicate wrote P2831 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: [Tim Herlihy, wrote, Pixels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pixels
Context triple: [Tim Herlihy, wrote, 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 is the IATA airport code for Pico Airport, which serves Pico Island in Portugal’s Azores archipelago.
  • D. 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.
  • E. Pen & Pixel
    Pen & Pixel is a graphic design firm famed for its flashy, hyper-stylized rap album covers that became iconic in Southern hip-hop during the 1990s and 2000s.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb2a25c819095437b25e6ab83f3 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b96bf08190b23bd3b705a34c61 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:02 a.m.