Triple

T3374891
Position Surface form Disambiguated ID Type / Status
Subject Olbrich Botanical Gardens E71042 entity
Predicate Michael B. OlbrichRole P48058 FINISHED
Object civic leader 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: civic leader | Statement: [Olbrich Botanical Gardens, Michael B. OlbrichRole, civic leader]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: Michael B. OlbrichRole
Context triple: [Olbrich Botanical Gardens, Michael B. OlbrichRole, civic leader]
  • A. Ron Harper
    Indicates a relationship or action involving Ron Harper, such as participation, association, or attribution connected to this individual.
  • B. foundingDirector
    Indicates that one entity is the original director who established or helped establish the other entity (such as an organization, project, or institution).
  • C. founderKnownFor
    Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
  • D. Dan HartRole
    Indicates that Dan Hart holds or performs a specific role, position, or function in relation to another entity or context.
  • E. notableWorkRole
    Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2e5fc6c81909ff582611751096d completed March 8, 2026, 5:33 p.m.
PD Predicate disambiguation batch_69ada433059881908e46f38cc5f40a32 completed March 8, 2026, 4:30 p.m.
PDg Predicate description generation batch_69adaa518ac88190b64f949ace018ab7 completed March 8, 2026, 4:56 p.m.
Created at: March 8, 2026, 3:13 p.m.