Triple

T3023117
Position Surface form Disambiguated ID Type / Status
Subject Katie Nolan E82509 entity
Predicate relationshipWith P10260 FINISHED
Object Johnny Nolan E320863 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: Johnny Nolan | Statement: [Katie Nolan, relationshipWith, Johnny Nolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Nolan
Context triple: [Katie Nolan, relationshipWith, Johnny Nolan]
  • A. Johnny Nolan chosen
    Johnny Nolan is a fictional Irish-American dreamer and struggling father from Betty Smith’s classic novel "A Tree Grows in Brooklyn."
  • B. Kenny Nolan
    Kenny Nolan is an American songwriter and singer best known for co-writing the hit song "Lady Marmalade" and for his own 1970s pop successes.
  • C. Tommy Noonan
    Tommy Noonan was an American film and television actor and comedian known for his character roles in 1950s Hollywood movies.
  • D. Johnny Burke
    Johnny Burke was an American lyricist best known for writing popular standards for film and popular music, often in partnership with composer Jimmy Van Heusen.
  • E. Mark O’Connor
    Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9ab8e0a48190ac79e674abd181cf completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee9ee148190843184f85077a6df completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3 p.m.