Triple

T20728774
Position Surface form Disambiguated ID Type / Status
Subject Donald Oenslager E509510 entity
Predicate familyName P18 FINISHED
Object Oenslager
Oenslager is a surname most notably associated with Donald Oenslager, an influential American scenic designer and theater educator.
E1447436 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: Oenslager | Statement: [Donald Oenslager, familyName, Oenslager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oenslager
Context triple: [Donald Oenslager, familyName, Oenslager]
  • A. Grimbergen
    Grimbergen is a municipality in the Flemish Brabant province of Belgium, known for its historic Norbertine abbey and the Grimbergen abbey beer.
  • B. Biervliet
    Biervliet is a small town in the Dutch province of Zeeland, located within the municipality of Terneuzen.
  • C. Leffe
    Leffe is a historic Belgian abbey beer brand known for its rich, flavorful ales, now produced and marketed globally by AB InBev.
  • D. Rodenbach
    Rodenbach is a small river in Bavaria, Germany, that serves as one of the tributaries of the Kronach.
  • E. Hoegaarden
    Hoegaarden is a Belgian wheat beer brand renowned for its cloudy appearance, citrus and coriander notes, and role in popularizing the witbier style worldwide.
  • 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: Oenslager
Triple: [Donald Oenslager, familyName, Oenslager]
Generated description
Oenslager is a surname most notably associated with Donald Oenslager, an influential American scenic designer and theater educator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oenslager
Target entity description: Oenslager is a surname most notably associated with Donald Oenslager, an influential American scenic designer and theater educator.
  • A. Grimbergen
    Grimbergen is a municipality in the Flemish Brabant province of Belgium, known for its historic Norbertine abbey and the Grimbergen abbey beer.
  • B. Biervliet
    Biervliet is a small town in the Dutch province of Zeeland, located within the municipality of Terneuzen.
  • C. Leffe
    Leffe is a historic Belgian abbey beer brand known for its rich, flavorful ales, now produced and marketed globally by AB InBev.
  • D. Rodenbach
    Rodenbach is a small river in Bavaria, Germany, that serves as one of the tributaries of the Kronach.
  • E. Hoegaarden
    Hoegaarden is a Belgian wheat beer brand renowned for its cloudy appearance, citrus and coriander notes, and role in popularizing the witbier style worldwide.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1eb5d44819082d9fa410e676d91 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e05db8ac8190bd2e7ca0d184a426 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e15d93ec8190bbe859fb42a4a5ac completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e25d8cb08190ba75b792aac192ab completed May 16, 2026, 9:32 p.m.
Created at: April 16, 2026, 12:30 p.m.