Triple

T7206731
Position Surface form Disambiguated ID Type / Status
Subject Roseanne E148683 entity
Predicate starring P1507 FINISHED
Object Johnny Galecki E193355 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 Galecki | Statement: [Roseanne, starring, Johnny Galecki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Galecki
Context triple: [Roseanne, starring, Johnny Galecki]
  • A. Johnny Galecki chosen
    Johnny Galecki is an American actor best known for his role as physicist Leonard Hofstadter on the hit sitcom "The Big Bang Theory" and earlier work on the TV series "Roseanne."
  • B. Robert Sean Leonard
    Robert Sean Leonard is an American actor best known for his roles in the television series "House" and films such as "Dead Poets Society."
  • C. Hugh Dancy
    Hugh Dancy is an English actor best known for his role as Will Graham in the television series "Hannibal" and for performances in films such as "Ella Enchanted" and "Confessions of a Shopaholic."
  • D. Jack Shepherd
    Jack Shepherd is a British actor known for his extensive work in film, television, and theatre, including roles in productions such as "Charlotte Gray."
  • E. Milo Ventimiglia
    Milo Ventimiglia is an American actor best known for his roles on the television series "Gilmore Girls," "Heroes," and "This Is Us."
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e969c5fc819096bc03bfba12d0cf completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc0ac008190b3ea46b4e5f13287 completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:52 p.m.