Triple

T16913426
Position Surface form Disambiguated ID Type / Status
Subject Cora Raikes E410258 entity
Predicate workWriter P2831 FINISHED
Object Jon Hoeber 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: Jon Hoeber | Statement: [Cora Raikes, workWriter, Jon Hoeber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Hoeber
Context triple: [Cora Raikes, workWriter, Jon Hoeber]
  • A. Jon Hoeber chosen
    Jon Hoeber is an American screenwriter best known for co-writing action and thriller films such as "Red" and its sequel, as well as various big-budget genre movies.
  • B. John Diehl
    John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
  • C. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • D. William Haade
    William Haade was an American character actor known for his tough-guy roles in numerous Hollywood films from the 1930s through the 1950s.
  • E. Jerry Welbach
    Jerry Welbach is the hapless, conflicted protagonist of the crime-comedy film "The Mexican," portrayed by Brad Pitt as a low-level criminal sent on a chaotic mission involving a legendary antique pistol.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3e6b9481909fbaeb0bddd7e3b2 completed April 18, 2026, 6:15 p.m.
Created at: April 10, 2026, 5:30 a.m.