Triple

T22767232
Position Surface form Disambiguated ID Type / Status
Subject Betsy’s Wedding E563158 entity
Predicate starring P1507 FINISHED
Object Alan Alda NE NERFINISHED

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: Alan Alda | Statement: [Betsy’s Wedding, starring, Alan Alda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Alda
Context triple: [Betsy’s Wedding, starring, Alan Alda]
  • A. Alan Alda chosen
    Alan Alda is an American actor, writer, and science communicator best known for his role on the television series M*A*S*H and his work promoting public understanding of science.
  • B. Robert Alda
    Robert Alda was an American actor and singer, and the father of actor Alan Alda, known for his work in film, theater, and television from the 1940s onward.
  • C. Robert MacNeil
    Robert MacNeil is a Canadian-American journalist and author best known for co-creating and co-anchoring the long-running public television news program that became PBS NewsHour.
  • D. Antony Alda
    Antony Alda was an American actor and screenwriter, known for his work in film and television and for being part of the Alda acting family.
  • E. Sam Hamill
    Sam Hamill was an American poet, translator, and co-founder of Copper Canyon Press, renowned for his English translations of classical Japanese literature and poetry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:27 p.m.