Triple

T4434849
Position Surface form Disambiguated ID Type / Status
Subject Keller Graduate School of Management E95622 entity
Predicate credentialAwarded P55991 FINISHED
Object master’s degree 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: master’s degree | Statement: [Keller Graduate School of Management, credentialAwarded, master’s degree]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: credentialAwarded
Context triple: [Keller Graduate School of Management, credentialAwarded, master’s degree]
  • A. qualificationBadge
    Indicates that an entity has been awarded or holds a specific qualification badge signifying a certified skill, status, or achievement.
  • B. positionAwarded
    Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
  • C. canAward
    Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
  • D. awardStatus
    Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
  • E. grantedAsRewardFor
    Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
  • F. None of above. chosen

Provenance (4 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35588e99881908fea7b71a33e2bb6 completed March 13, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69b34f6078cc8190831b89f404198cc5 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b3505a87b4819083fbbd58870e520b completed March 12, 2026, 11:46 p.m.
Created at: March 12, 2026, 11:31 p.m.