Triple

T15768743
Position Surface form Disambiguated ID Type / Status
Subject Bill Paxton E382293 entity
Predicate spouse P13 FINISHED
Object Louise Newbury E402037 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: Louise Newbury | Statement: [Bill Paxton, spouse, Louise Newbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise Newbury
Context triple: [Bill Paxton, spouse, Louise Newbury]
  • A. Louise Newbury chosen
    Louise Newbury is the widow of American actor and filmmaker Bill Paxton, with whom she shared a long-term marriage and two children.
  • B. Louise Nicholl
    Louise Nicholl is a notable individual recognized for bearing the surname Nicholl.
  • C. Louise Barnsley
    Louise Barnsley is a central character in the psychological thriller series "Behind Her Eyes," known for becoming entangled in a dangerous love triangle and a web of dark secrets.
  • D. Louise Platt
    Louise Platt was an American stage, film, and television actress best remembered for her role in John Ford’s classic Western film "Stagecoach."
  • E. Lorraine Broughton
    Lorraine Broughton is a highly skilled, stylish MI6 spy and lethal combatant who serves as the protagonist of the action thriller film "Atomic Blonde."
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051951bac8190a7d45f3612c6de72 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb036ee7c8190a8b8da79589ebec0 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:47 a.m.