Triple

T3824277
Position Surface form Disambiguated ID Type / Status
Subject Jarden Corporation E88647 entity
Predicate ownsBrand P1500 FINISHED
Object Waterman E88624 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: Waterman | Statement: [Jarden Corporation, ownsBrand, Waterman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterman
Context triple: [Jarden Corporation, ownsBrand, Waterman]
  • A. Waterman chosen
    Waterman is a historic luxury pen and writing instruments brand known for its high-quality fountain pens and elegant design.
  • B. The Water Man
    The Water Man is a 2020 family adventure-drama film and the directorial debut of David Oyelowo, following a boy’s mystical quest to save his ailing mother.
  • C. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • D. Lightwater
    Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
  • E. Cracknell
    Cracknell is an English surname most notably associated with Olympic gold-medal-winning rower James Cracknell.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb6223808190aee0c15259eeeecd completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4c70008190bb8712f46f40d6f8 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.