Triple

T3819419
Position Surface form Disambiguated ID Type / Status
Subject Don Most E84336 entity
Predicate birthName P65 FINISHED
Object Donald Most E390542 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: Donald Most | Statement: [Don Most, birthName, Donald Most]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Most
Context triple: [Don Most, birthName, Donald Most]
  • A. Don Most chosen
    Don Most is an American actor and singer best known for playing Ralph Malph on the classic television sitcom "Happy Days."
  • B. Walter Murphy
    Walter Murphy is an American composer, arranger, and pianist best known for his disco-era hit "A Fifth of Beethoven" and for scoring numerous film and television projects, including collaborations with Seth MacFarlane.
  • C. George Zames
    George Zames was a prominent control theorist known for his foundational contributions to robust control and H-infinity methods in systems engineering.
  • D. Albert Kihn
    Albert Kihn is a cinematographer best known for his work on George Lucas’s dystopian science fiction film "THX 1138."
  • E. Tom Constanten
    Tom Constanten is an American keyboardist and composer best known for his late-1960s tenure with the psychedelic rock band the Grateful Dead.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea601d408190b09dc486e77488d4 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f75f6c8190b9af77ed212a2774 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.