Triple

T13221965
Position Surface form Disambiguated ID Type / Status
Subject Deadbeat E314776 entity
Predicate productionCompany P490 FINISHED
Object Dakota Pictures E200732 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: Dakota Pictures | Statement: [Deadbeat, productionCompany, Dakota Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dakota Pictures
Context triple: [Deadbeat, productionCompany, Dakota Pictures]
  • A. Dakota Pictures chosen
    Dakota Pictures is an American television and film production company known for producing comedy specials, series, and stand-up performances for major networks and platforms.
  • B. Benaroya Pictures
    Benaroya Pictures is an independent film production company known for financing and producing a range of critically acclaimed and commercially successful feature films.
  • C. Sierra Pictures
    Sierra Pictures was a film production company active in mid-20th-century Hollywood, known for producing works such as the 1948 historical drama "Joan of Arc."
  • D. Keystone Pictures
    Keystone Pictures is a film production company best known for producing the family sports comedy movie "Air Bud."
  • E. Sycamore Pictures
    Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature films.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff24be9881908b96f3e72325e55f completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:18 p.m.