Triple

T7914793
Position Surface form Disambiguated ID Type / Status
Subject Norman Rockwell E183791 entity
Predicate spouse P13 FINISHED
Object Irene O’Connor E183791 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: Irene O’Connor | Statement: [Norman Rockwell, spouse, Irene O’Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene O’Connor
Context triple: [Norman Rockwell, spouse, Irene O’Connor]
  • A. Irene O’Connor chosen
    Irene O’Connor was the first wife of American illustrator Norman Rockwell, whom he married in the early 20th century.
  • B. Una O'Connor
    Una O'Connor was an Irish-born character actress best known for her comic and eccentric supporting roles in classic Hollywood films of the 1930s and 1940s, including "The Invisible Man" and "Bride of Frankenstein."
  • C. Gloria Cleary
    Gloria Cleary is a quirky, emotionally intense love interest portrayed by Isla Fisher in the comedy film "Wedding Crashers."
  • D. Bridget O’Connor
    Bridget O’Connor was a British screenwriter and playwright best known for co-writing the acclaimed adaptation of John le Carré’s Tinker Tailor Soldier Spy (2011).
  • E. Mary Connelly
    Mary Connelly is a television producer best known for her work as an executive producer on major daytime talk shows, including The Jennifer Hudson Show.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d178a6467c8190aab201fb12d2a64e completed April 4, 2026, 8:46 p.m.
Created at: March 30, 2026, 5:05 p.m.