Triple

T13500243
Position Surface form Disambiguated ID Type / Status
Subject Katie Rommely E320867 entity
Predicate marriedName P18 FINISHED
Object Katie Nolan E1068453 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: Katie Nolan | Statement: [Katie Rommely, marriedName, Katie Nolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Nolan
Context triple: [Katie Rommely, marriedName, Katie Nolan]
  • A. Katie Nolan
    Katie Nolan is a fictional character from Betty Smith's novel "A Tree Grows in Brooklyn," known as the hardworking, pragmatic mother of the Nolan family.
  • B. Katie Nolan chosen
    Katie Nolan is an American sports television host, podcast presenter, and comedian known for her work with ESPN and Fox Sports.
  • C. Katie O’Connell
    Katie O’Connell is a television producer best known for her work as an executive producer on various American talk and entertainment shows.
  • D. Sarah O'Connell
    Sarah O'Connell is the wife of British-Australian radio presenter and comedian Christian O'Connell.
  • E. Katie Nic Aoidh
    Katie Nic Aoidh is a central character in the romantic comedy film "The Decoy Bride," around whom much of the story’s island-set drama and humor revolves.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4fab688190bdc746985b0c7338 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5ecad88190b7c8236969d9abc7 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 9:43 p.m.