Triple

T18789530
Position Surface form Disambiguated ID Type / Status
Subject Muscle Shoals E459472 entity
Predicate producer P490 FINISHED
Object Andrew Ruhemann NE NERFINISHED

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 Ruhemann | Statement: [Muscle Shoals, producer, Andrew Ruhemann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Ruhemann
Context triple: [Muscle Shoals, producer, Andrew Ruhemann]
  • A. Andrew Ruhemann chosen
    Andrew Ruhemann is a British film producer and co-founder of the animation studio Passion Pictures, known for his work on acclaimed animated and live-action projects.
  • B. Daniel Roher
    Daniel Roher is a Canadian documentary filmmaker best known for directing the Oscar-winning political documentary "Navalny."
  • C. John Luessenhop
    John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
  • D. Jonathan Brandmeier
    Jonathan Brandmeier is an American radio host and comedian best known for his long-running, high-energy morning shows on Chicago rock stations.
  • E. Andrew Hafitz
    Andrew Hafitz is a film editor known for his work on independent and arthouse films, including collaborations with director Whit Stillman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59784c5988190851755b7f47835e5 completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:53 a.m.