Triple

T7839202
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Ross E181760 entity
Predicate spouse P13 FINISHED
Object Jane Goldman E48817 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: Jane Goldman | Statement: [Jonathan Ross, spouse, Jane Goldman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Goldman
Context triple: [Jonathan Ross, spouse, Jane Goldman]
  • A. Jane Goldman chosen
    Jane Goldman is a British screenwriter, author, and producer known for co-writing hit films such as "Kick-Ass," "X-Men: First Class," and "Kingsman: The Secret Service."
  • B. Ann Goldstein
    Ann Goldstein is an American literary translator best known for bringing Elena Ferrante’s Neapolitan novels and other major works of Italian literature into English.
  • C. Sara Goldfarb
    Sara Goldfarb is a lonely, television-obsessed Brooklyn widow whose descent into amphetamine addiction and delusion forms one of the central tragic arcs of "Requiem for a Dream."
  • D. Susan Foreman
    Susan Foreman is the Doctor’s granddaughter and one of the original companions in the long-running British science fiction series Doctor Who.
  • E. Linda Goldstein
    Linda Goldstein is a music producer known for her work on projects such as the album "Simple Pleasures."
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c4680481908628d22bbe4842f4 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5abff2a88190a2f988b8b041ebb0 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.