Triple

T16842200
Position Surface form Disambiguated ID Type / Status
Subject David Quantick E409440 entity
Predicate notableWork P4 FINISHED
Object Blue Jam E706342 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: Blue Jam | Statement: [David Quantick, notableWork, Blue Jam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Jam
Context triple: [David Quantick, notableWork, Blue Jam]
  • A. Blue Jam chosen
    Blue Jam is a darkly surreal British radio comedy series created by satirist Chris Morris, known for its unsettling soundscapes and experimental, boundary-pushing sketches.
  • B. Black Tambourine
    "Black Tambourine" is a poem by American writer Michael White, featured in his collection "White Buildings."
  • C. Black Tambourine
    "Black Tambourine" is a song by American musician Beck, featured on his 2005 album *Guero* and known for its eclectic, sample-rich alternative rock sound.
  • D. Blue Sunshine
    Blue Sunshine is a 1978 cult horror-thriller film about a series of murders linked to a batch of experimental LSD taken years earlier.
  • E. Blue Banana
    Blue Banana is a major European economic corridor stretching from northern England through the Benelux and western Germany to northern Italy, characterized by dense population, industrialization, and high economic activity.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35167a48190b45a459023e3ab1b completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb199168819080a9ddc7534f19a7 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.