Triple

T16016067
Position Surface form Disambiguated ID Type / Status
Subject Playing House E388468 entity
Predicate executiveProducer P7225 FINISHED
Object Scot Armstrong E228235 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: Scot Armstrong | Statement: [Playing House, executiveProducer, Scot Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scot Armstrong
Context triple: [Playing House, executiveProducer, Scot Armstrong]
  • A. Scot Armstrong chosen
    Scot Armstrong is an American screenwriter and producer known for his work on hit comedy films such as "Old School," "Road Trip," and "The Hangover Part II."
  • B. Craig Armstrong
    Craig Armstrong is a television producer best known for his work as an executive producer on popular reality and home-renovation series.
  • C. Craig Armstrong
    Craig Armstrong is a Scottish composer and arranger renowned for his emotive film scores and orchestral works, including music for major films such as "Love Actually," "Moulin Rouge!" and "The Great Gatsby."
  • D. David Weir
    David Weir is a British Paralympic wheelchair racer and multiple gold medalist renowned for his achievements on the track and in major marathons.
  • E. David Armstrong
    David Armstrong is a relatively common personal name shared by various individuals across fields such as sports, academia, and the arts.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18294f6c48190ab9d3eead268f846 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf284fa481909b571d1bf107fca4 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.