Triple

T1787925
Position Surface form Disambiguated ID Type / Status
Subject David Oyelowo E39429 entity
Predicate directed P7373 FINISHED
Object The Water Man E199125 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: The Water Man | Statement: [David Oyelowo, directed, The Water Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Water Man
Context triple: [David Oyelowo, directed, The Water Man]
  • A. The Water Man chosen
    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.
  • B. Waterman
    Waterman is a historic luxury pen and writing instruments brand known for its high-quality fountain pens and elegant design.
  • C. Dighty Water
    Dighty Water is a small river in Angus, Scotland, that flows through the Monifieth and Dundee area before entering the Firth of Tay.
  • D. River Suck
    River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
  • E. River Waver
    River Waver is a small river in Cumbria, England, that flows through rural landscapes of the Solway Plain before emptying into the Solway Firth.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650fd3448190a6a2c979db982cae completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5ce137481909fde04dfa2d6a45a completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:32 p.m.