Triple

T11130454
Position Surface form Disambiguated ID Type / Status
Subject Jolene Koester E263263 entity
Predicate familyName P18 FINISHED
Object Koester
Koester is the surname of Jolene Koester, an American academic administrator and former university president.
 E907391 NE FINISHED

How this triple was built (4 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: Koester | Statement: [Jolene Koester, familyName, Koester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koester
Context triple: [Jolene Koester, familyName, Koester]
  • A. Keppler
    Keppler is a German surname most notably associated with Wilhelm Keppler, an industrialist and early economic adviser to Adolf Hitler.
  • B. Kepler
    Kepler is a prominent lunar impact crater on the Moon’s near side, notable for its bright ray system and relatively young geological age.
  • C. Kepler
    Kepler was a NASA space telescope mission designed to discover Earth-sized exoplanets by monitoring the brightness of distant stars for transit signals.
  • D. Kepler
    Kepler is an indie rock band known for its atmospheric, guitar-driven sound and connections to the Canadian music scene.
  • E. Seager
    Seager is the surname of American professional baseball player Corey Seager, a star shortstop and multiple-time World Series MVP.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Koester
Triple: [Jolene Koester, familyName, Koester]
Generated description
Koester is the surname of Jolene Koester, an American academic administrator and former university president.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koester
Target entity description: Koester is the surname of Jolene Koester, an American academic administrator and former university president.
  • A. Keppler
    Keppler is a German surname most notably associated with Wilhelm Keppler, an industrialist and early economic adviser to Adolf Hitler.
  • B. Kepler
    Kepler is a prominent lunar impact crater on the Moon’s near side, notable for its bright ray system and relatively young geological age.
  • C. Kepler
    Kepler was a NASA space telescope mission designed to discover Earth-sized exoplanets by monitoring the brightness of distant stars for transit signals.
  • D. Kepler
    Kepler is an indie rock band known for its atmospheric, guitar-driven sound and connections to the Canadian music scene.
  • E. Seager
    Seager is the surname of American professional baseball player Corey Seager, a star shortstop and multiple-time World Series MVP.
  • F. None of above. chosen

Provenance (5 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e831f4808190afabdaa0e97bbe32 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441dcb4608190a4cfa46c194d11ae completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c0606408190819b9d3fd58f818f completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e451274ce48190a05f1d37f972c36c completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.