Triple

T12823446
Position Surface form Disambiguated ID Type / Status
Subject Humble Administrator's Garden E306588 entity
Predicate formerOccupationOfFounder P97851 FINISHED
Object imperial censor 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: imperial censor | Statement: [Humble Administrator's Garden, formerOccupationOfFounder, imperial censor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerOccupationOfFounder
Context triple: [Humble Administrator's Garden, formerOccupationOfFounder, imperial censor]
  • A. foundedByOccupation
    Indicates that an entity (such as an organization or institution) was founded by a person or group characterized by a specific occupation or professional role.
  • B. associatedProfessionOfFounder chosen
    Indicates the professional field or occupation linked to the founder of an entity.
  • C. founder
    Indicates that an entity established, created, or started another entity such as an organization, institution, or company.
  • D. coFounderOccupation
    Indicates that the specified occupation is or was held by a person in their role as a co-founder of an organization.
  • E. founderLaterBecame
    Indicates that an entity who originally founded something later assumed a different, typically higher or more formal, role or position related to that same entity.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
PD Predicate disambiguation batch_69d964100f7481909a197396003d4a71 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:32 p.m.