Triple

T8685138
Position Surface form Disambiguated ID Type / Status
Subject Christmas in Connecticut E206137 entity
Predicate starring P1507 FINISHED
Object Robert Shayne E116571 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: Robert Shayne | Statement: [Christmas in Connecticut, starring, Robert Shayne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Shayne
Context triple: [Christmas in Connecticut, starring, Robert Shayne]
  • A. Robert Shayne chosen
    Robert Shayne was an American character actor best known for playing Inspector Henderson on the 1950s television series "Adventures of Superman."
  • B. Eddie Cahill
    Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
  • C. Gavan Duffy
    Gavan Duffy is the surname of George Gavan Duffy, an Irish politician, lawyer, and signatory of the Anglo-Irish Treaty who later served as a judge.
  • D. Jack Moran
    Jack Moran is a fictional character appearing in the film "My Blue Heaven."
  • E. Jack Doolan
    Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aeae740819099093906ccc5f640 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3cd888c81909fb1ece99988db36 completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:32 p.m.