Triple

T14969670
Position Surface form Disambiguated ID Type / Status
Subject Marion Marshall E373282 entity
Predicate relative P37 FINISHED
Object Joshua Donen E274414 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: Joshua Donen | Statement: [Marion Marshall, relative, Joshua Donen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua Donen
Context triple: [Marion Marshall, relative, Joshua Donen]
  • A. Joshua Donen chosen
    Joshua Donen is an American film and television producer known for working on projects such as the Western film "The Quick and the Dead" and various high-profile genre productions.
  • B. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • C. Ron Gans
    Ron Gans was an American voice actor best known for his work in animation and television, including voicing characters in the Winnie the Pooh franchise.
  • D. Greg Yaitanes
    Greg Yaitanes is an American television director and producer known for his work on high-profile series such as House of the Dragon and House.
  • E. Sam Koppelman
    Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be6ce68819099f841d83c6ca33d completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:49 a.m.