Triple

T6055502
Position Surface form Disambiguated ID Type / Status
Subject Sidney Drell E134899 entity
Predicate name P16 FINISHED
Object Sidney Drell E134899 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: Sidney Drell | Statement: [Sidney Drell, name, Sidney Drell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidney Drell
Context triple: [Sidney Drell, name, Sidney Drell]
  • A. Sidney Drell chosen
    Sidney Drell was an American theoretical physicist renowned for his contributions to quantum field theory and particle physics, as well as for his influential work in national security and arms control policy.
  • B. Gerald Guralnik
    Gerald Guralnik was an American theoretical physicist best known as one of the co-discoverers of the Higgs mechanism that explains how particles acquire mass.
  • C. Stanley R. Jaffe
    Stanley R. Jaffe is an American film producer best known for his work on acclaimed movies such as "Kramer vs. Kramer."
  • D. Sidney Coleman
    Sidney Coleman was an influential American theoretical physicist renowned for his work in quantum field theory and for his exceptional teaching and expository lectures at Harvard University.
  • E. Murray Feshbach
    Murray Feshbach was an American demographer and scholar known for his pioneering research on Soviet and Russian population, public health, and environmental issues.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570a863c819090291775245708d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14149f97081908d57c21652097ad3 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:09 p.m.