Triple

T36151668
Position Surface form Disambiguated ID Type / Status
Subject INFORMS Optimization Society Khachiyan Prize E1045600 entity
Predicate hasNamesakeKnownFor P111120 FINISHED
Object ellipsoid algorithm in linear programming 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: ellipsoid algorithm in linear programming | Statement: [INFORMS Optimization Society Khachiyan Prize, hasNamesakeKnownFor, ellipsoid algorithm in linear programming]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNamesakeKnownFor
Context triple: [INFORMS Optimization Society Khachiyan Prize, hasNamesakeKnownFor, ellipsoid algorithm in linear programming]
  • A. hasNamesakeNotability
    Indicates that one entity is notable or recognized specifically because it shares the same name as another entity.
  • B. hasFamousNamesake
    Indicates that an entity shares its name with another well-known or notable entity.
  • C. namedForNotablePersonFrom
    Indicates that one entity is named in honor of a notable person who originates from another specified place or group.
  • D. referentKnownFor chosen
    Indicates that the referent is widely recognized or notable for a particular activity, role, achievement, or characteristic.
  • E. namedForKnownFor
    Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
  • 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_69f76e38903c8190a52887620f90aabe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff7595c9bc8190982c6e6e07a0c78f completed May 9, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69ff715432a88190a25670d26614bde2 completed May 9, 2026, 5:39 p.m.
Created at: May 3, 2026, 4:08 p.m.