Triple

T17505617
Position Surface form Disambiguated ID Type / Status
Subject Edge.org E426306 entity
Predicate hasContributor P4244 FINISHED
Object Murray Gell-Mann 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: Murray Gell-Mann | Statement: [Edge.org, hasContributor, Murray Gell-Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray Gell-Mann
Context triple: [Edge.org, hasContributor, Murray Gell-Mann]
  • A. Murray Gell-Mann chosen
    Murray Gell-Mann was an American physicist best known for developing the quark model of subatomic particles and receiving the 1969 Nobel Prize in Physics.
  • B. Arthur Gell-Mann
    Arthur Gell-Mann was the brother of Nobel Prize–winning physicist Murray Gell-Mann and a member of the Gell-Mann family, though he is not widely known in his own right.
  • C. Pauline Gell-Mann
    Pauline Gell-Mann was the mother of Nobel Prize–winning physicist Murray Gell-Mann.
  • D. Steven Weinberg
    Steven Weinberg was an American theoretical physicist and Nobel laureate renowned for his pioneering work in unifying the electromagnetic and weak nuclear forces into the electroweak theory.
  • E. Geoffrey Chew
    Geoffrey Chew was an American theoretical physicist best known for developing the S-matrix theory and the bootstrap model in particle physics.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452159c28819084b2cba4313ddf28 completed April 19, 2026, 3:55 a.m.
Created at: April 10, 2026, 5:48 a.m.