Triple

T14936345
Position Surface form Disambiguated ID Type / Status
Subject Walleye E372401 entity
Predicate manufacturedBy P4022 FINISHED
Object HTC E193798 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: HTC | Statement: [Walleye, manufacturedBy, HTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTC
Context triple: [Walleye, manufacturedBy, HTC]
  • A. HTC chosen
    HTC is a Taiwanese consumer electronics company best known for manufacturing smartphones and other mobile devices, including early Android and Windows-based phones.
  • B. HTC Zoe
    HTC Zoe is a camera and gallery feature introduced by HTC that captures short video-like photo sequences and creates dynamic, shareable moments from still images.
  • C. HTC Touch series
    The HTC Touch series is a line of touchscreen smartphones by HTC that ran primarily on Windows Mobile and helped popularize finger-driven touch interfaces before the rise of modern Android devices.
  • D. Motorola Mobility
    Motorola Mobility is a consumer electronics company best known for designing and manufacturing Android smartphones and smartwatches, including devices running Google's Wear OS platform.
  • E. Motorola
    Motorola is an American telecommunications and semiconductor company best known for pioneering mobile phones and designing influential microprocessors like the 68000 family.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded647ae388190a0e97c03f2a4d832 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8e9c0c81909cfb1e02987527c0 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:37 a.m.