Triple

T15763539
Position Surface form Disambiguated ID Type / Status
Subject Eric Bana E382158 entity
Predicate spouse P13 FINISHED
Object Rebecca Gleeson E382158 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: Rebecca Gleeson | Statement: [Eric Bana, spouse, Rebecca Gleeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebecca Gleeson
Context triple: [Eric Bana, spouse, Rebecca Gleeson]
  • A. Rebecca Gleeson chosen
    Rebecca Gleeson is an Australian publicist best known as the wife of actor Eric Bana.
  • B. Frances O'Connor
    Frances O'Connor is an English-Australian actress known for her work in film and television, including prominent roles in dramas and period pieces.
  • C. Nicola Coughlan
    Nicola Coughlan is an Irish actress best known for her comedic role in the series "Derry Girls" and for playing Penelope Featherington in the Netflix period drama "Bridgerton."
  • D. Danielle Macdonald
    Danielle Macdonald is an Australian actress known for her breakout roles in films such as "Patti Cake$," "Dumplin'," and the drama "Skin."
  • E. Siobhan Finneran
    Siobhan Finneran is an English actress known for her versatile roles in television dramas such as Downton Abbey, Happy Valley, and Benidorm.
  • 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_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035450810819092796c556dfa8ed3 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 4:47 a.m.