Triple

T10682355
Position Surface form Disambiguated ID Type / Status
Subject The Ward E251788 entity
Predicate producer P490 FINISHED
Object Andrew Spaulding E504192 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: Andrew Spaulding | Statement: [The Ward, producer, Andrew Spaulding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Spaulding
Context triple: [The Ward, producer, Andrew Spaulding]
  • A. Andrew Spaulding chosen
    Andrew Spaulding is a television producer best known for his work as an executive producer on the historical comedy-drama series "The Great."
  • B. Alan Spaulding
    Alan Spaulding is a central, long-running antagonist and powerful businessman on the American soap opera "Guiding Light."
  • C. Phillip Spaulding
    Phillip Spaulding is a central, long-running character on the American soap opera "Guiding Light," known for his complex family ties, romantic entanglements, and dramatic personal struggles.
  • D. Eugene Worley
    Eugene Worley was an American jurist who served as a prominent judge on the United States Court of Customs and Patent Appeals.
  • E. Louis Mahoney
    Louis Mahoney was a Gambian-born British actor and pioneering anti-racism campaigner in the UK entertainment industry, known for his numerous television, film, and stage roles.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc30be481909922844b539b622d completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbacf1a43c8190869f4a64f9d6a26c completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:10 p.m.