Triple

T12973345
Position Surface form Disambiguated ID Type / Status
Subject Philippe Starck E321458 entity
Predicate founded P104 FINISHED
Object Starck Network E1014523 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: Starck Network | Statement: [Philippe Starck, founded, Starck Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starck Network
Context triple: [Philippe Starck, founded, Starck Network]
  • A. Starck Network chosen
    Starck Network is a design and creative agency founded by renowned French designer Philippe Starck to develop and manage his wide-ranging design projects and collaborations.
  • B. Aurora Network
    Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
  • C. Noctilien network
    The Noctilien network is Paris’s night bus system that provides public transport services across the city and surrounding suburbs when regular metro and bus lines are closed.
  • D. Emerald Network
    The Emerald Network is a pan-European ecological network of protected areas aimed at conserving habitats and species of special importance under the Bern Convention.
  • E. Arcour
    Arcour is a French motorway concession company associated with the Vinci Autoroutes network.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e4322c08190abd43daadf16097f completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f702fc8190936a7dd292a675f8 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:36 p.m.