Triple

T22504128
Position Surface form Disambiguated ID Type / Status
Subject BBH E556344 entity
Predicate hasSubsidiary P254 FINISHED
Object BBH New York NE NERFINISHED

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: BBH New York | Statement: [BBH, hasSubsidiary, BBH New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBH New York
Context triple: [BBH, hasSubsidiary, BBH New York]
  • A. BBH (Bartle Bogle Hegarty) chosen
    BBH (Bartle Bogle Hegarty) is a renowned global advertising agency known for its creative, award-winning campaigns for major international brands.
  • B. BBDO
    BBDO is a major global advertising agency network known for creating high-profile, award-winning campaigns for leading brands.
  • C. Ogilvy & Mather
    Ogilvy & Mather is a major global advertising agency known for its influential marketing campaigns and brand-building work for leading companies worldwide.
  • D. Ogilvy
    Ogilvy is a prominent British surname historically associated with Scottish nobility and, through Marina Ogilvy, with the extended family of the British royal household.
  • E. Hub McCann
    Hub McCann is a gruff, eccentric former adventurer and retired soldier who, alongside his brother, becomes an unlikely mentor and guardian to a young boy in the film "Secondhand Lions."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ac5808190a66f9111c350f4dc completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.