Triple

T16492666
Position Surface form Disambiguated ID Type / Status
Subject V–A theory E400603 entity
Predicate proposedBy P32 FINISHED
Object Robert Marshak E118537 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 Marshak | Statement: [V–A theory, proposedBy, Robert Marshak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Marshak
Context triple: [V–A theory, proposedBy, Robert Marshak]
  • A. Robert Marshak chosen
    Robert Marshak was an American theoretical physicist known for his contributions to particle physics and for helping to establish the Rochester Conferences, a key series in high-energy physics.
  • B. Morris Stoloff
    Morris Stoloff was an American musical director, conductor, and composer best known for his work on numerous Hollywood film scores during the mid-20th century.
  • C. Leonid Sherwood
    Leonid Sherwood was a Russian architect best known for designing the neo-Gothic cliffside castle Swallow’s Nest in Crimea.
  • D. George Placzek
    George Placzek was a Czech physicist known for his influential work in nuclear physics and quantum theory, including key contributions to early nuclear reactor research.
  • E. Daniel Syrkin
    Daniel Syrkin is an Israeli film and television director known for his work on acclaimed series and feature films, including the espionage drama "Tehran."
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e30cb648190a52cb32896c4ac5a completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607cbc80819088505d8bdd663109 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:13 a.m.