Triple

T17645860
Position Surface form Disambiguated ID Type / Status
Subject Lifeforce E429355 entity
Predicate screenwriter P2831 FINISHED
Object Don Jakoby 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: Don Jakoby | Statement: [Lifeforce, screenwriter, Don Jakoby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Jakoby
Context triple: [Lifeforce, screenwriter, Don Jakoby]
  • A. Don Jakoby chosen
    Don Jakoby is an American screenwriter known for his work on science fiction and action films, including contributions to movies like "Blue Thunder" and "Arachnophobia."
  • B. Jack Dolgen
    Jack Dolgen is a songwriter, producer, and composer best known for his work on the musical numbers in the television series "Crazy Ex-Girlfriend."
  • C. Don Otten
    Don Otten was an American professional basketball center who played in the early years of the NBA, including for the Tri-Cities Blackhawks.
  • D. Solly Joel
    Solly Joel was a prominent British-South African financier and diamond magnate of the late 19th and early 20th centuries.
  • E. Johnny Dyani
    Johnny Dyani was a South African jazz double bassist and composer known for his work in the avant-garde and free jazz scenes, particularly in Europe during the 1960s–1980s.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e382ba88190af19d0e3b8c8cadd completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:04 a.m.