Triple

T9600427
Position Surface form Disambiguated ID Type / Status
Subject Mordehai Milgrom E231833 entity
Predicate theoryChallenges P86846 FINISHED
Object dark matter paradigm LITERAL 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: dark matter paradigm | Statement: [Mordehai Milgrom, theoryChallenges, dark matter paradigm]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theoryChallenges
Context triple: [Mordehai Milgrom, theoryChallenges, dark matter paradigm]
  • A. challengesPrinciple
    Indicates that one entity questions, disputes, or undermines the validity, applicability, or authority of a given principle.
  • B. challengesModel chosen
    Indicates that one entity questions, disputes, or puts to the test the validity, performance, or assumptions of another entity’s model.
  • C. challengedPractice
    Indicates that one entity has questioned, disputed, or formally opposed the validity, appropriateness, or continuation of another entity’s practice or procedure.
  • D. challengedConcept
    Indicates that one entity has questioned, disputed, or called into doubt the validity, accuracy, or applicability of a particular concept.
  • E. relatedChallenge
    Indicates that one challenge is connected to another challenge, such as being similar, dependent, or otherwise contextually linked.
  • F. None of above.

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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a3934d481908400a63335d644bd completed April 1, 2026, 10:20 p.m.
PD Predicate disambiguation batch_69ccd5a359788190b24f82399489f7fe completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:07 p.m.