Triple

T6132725
Position Surface form Disambiguated ID Type / Status
Subject Simon Ramo E136756 entity
Predicate fullName P16 FINISHED
Object Simon Ramo E136756 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: Simon Ramo | Statement: [Simon Ramo, fullName, Simon Ramo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Ramo
Context triple: [Simon Ramo, fullName, Simon Ramo]
  • A. Simon Ramo chosen
    Simon Ramo was an American engineer, physicist, and business leader renowned as a pioneer of the aerospace and electronics industries and a key architect of the U.S. intercontinental ballistic missile program.
  • B. Cliff Martinez
    Cliff Martinez is an American film composer and former drummer known for his atmospheric, minimalist scores for directors like Steven Soderbergh and Nicolas Winding Refn.
  • C. Sydney M. Mead
    Sydney M. Mead is a scholar of religion known for his influential work on American religious history and the role of religion in shaping national identity.
  • D. Dan Wyllie
    Dan Wyllie is an Australian actor known for his work in film, television, and theatre, including prominent roles in acclaimed Australian dramas.
  • E. Allan Kayser
    Allan Kayser is an American actor best known for playing Bubba Higgins on the sitcom "Mama’s Family."
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c509848819089a2b2b58744bc25 completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135d75a588190a565026498bcce57 completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:15 p.m.