Triple

T8431130
Position Surface form Disambiguated ID Type / Status
Subject ARRAY E199115 entity
Predicate hasDivision P35 FINISHED
Object ARRAY Alliance E199117 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: ARRAY Alliance | Statement: [ARRAY, hasDivision, ARRAY Alliance]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARRAY Alliance
Context triple: [ARRAY, hasDivision, ARRAY Alliance]
  • A. ARRAY Alliance chosen
    ARRAY Alliance is a nonprofit organization and social impact collective founded by filmmaker Ava DuVernay to advance racial and gender equity in the entertainment industry and beyond.
  • B. Ensemble alliance
    Ensemble alliance is a centrist political coalition in France formed around President Emmanuel Macron to support his reformist agenda and parliamentary majority.
  • C. AIM alliance
    The AIM alliance was a 1990s partnership between Apple, IBM, and Motorola formed to develop and promote the PowerPC microprocessor architecture as an alternative to Intel’s x86.
  • D. ANA Group
    ANA Group is a major Japanese aviation conglomerate centered around All Nippon Airways, operating passenger and cargo airlines as well as related aviation services.
  • E. Qliance
    Qliance was a Seattle-based direct primary care medical practice company known for offering membership-based, insurance-free primary healthcare services.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce0380ed948190bdba247d67769ade completed April 2, 2026, 5:49 a.m.
Created at: March 30, 2026, 6:07 p.m.