Triple

T16693564
Position Surface form Disambiguated ID Type / Status
Subject Jeff Donnell E405653 entity
Predicate spouse P13 FINISHED
Object Alden Brewster E899302 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: Alden Brewster | Statement: [Jeff Donnell, spouse, Alden Brewster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alden Brewster
Context triple: [Jeff Donnell, spouse, Alden Brewster]
  • A. Alden Brewster chosen
    Alden Brewster is the father of actress Jordana Brewster, known for her roles in the "Fast & Furious" film franchise.
  • B. George Denbrough
    George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
  • C. Jonathan Brewster
    Jonathan Brewster is a menacing, criminally inclined character in the dark comedy play "Arsenic and Old Lace," known for his sinister demeanor and botched plastic surgery that makes him resemble Boris Karloff.
  • D. Oliver Conant
    Oliver Conant is an American former child actor best known for his role in the coming-of-age film "Summer of '42."
  • E. Montgomery Brewster
    Montgomery Brewster is the hapless minor-league baseball player who must spend a vast inheritance under strict conditions in the comedy film "Brewster's Millions."
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eab93a081909aedc45f3f8f0e10 completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919acd308190a3f29040554b9cfc completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.