Triple

T4600240
Position Surface form Disambiguated ID Type / Status
Subject Looker E100304 entity
Predicate developer P73 FINISHED
Object Looker Data Sciences, Inc. E100304 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: Looker Data Sciences, Inc. | Statement: [Looker, developer, Looker Data Sciences, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Looker Data Sciences, Inc.
Context triple: [Looker, developer, Looker Data Sciences, Inc.]
  • A. Looker chosen
    Looker is a modern business intelligence and data analytics platform that enables organizations to explore, visualize, and share insights from their data.
  • B. Palantir Technologies
    Palantir Technologies is an American software company specializing in big data analytics platforms used by governments and large enterprises for intelligence, security, and operational decision-making.
  • C. Kimball International
    Kimball International is an American furniture manufacturer known for producing office, hospitality, and health care furnishings.
  • D. John Snow, Inc.
    John Snow, Inc. is a public health research and consulting organization that designs and implements programs to improve health systems and outcomes worldwide.
  • E. Palantir Apollo
    Palantir Apollo is Palantir Technologies’ continuous delivery and deployment platform designed to manage and update complex software across diverse, distributed environments.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5971f448819090f6e76c7d3ffc2d completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa5a7aac8190b540b80816d55051 completed March 21, 2026, 1:54 a.m.
Created at: March 20, 2026, 1:11 p.m.