Triple

T7264369
Position Surface form Disambiguated ID Type / Status
Subject Howard Zahniser E159733 entity
Predicate spouse P13 FINISHED
Object Alice Zahniser
Alice Zahniser was the wife of conservationist Howard Zahniser, noted for her support of his environmental and wilderness preservation work.
 E652513 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: Alice Zahniser | Statement: [Howard Zahniser, spouse, Alice Zahniser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alice Zahniser
Context triple: [Howard Zahniser, spouse, Alice Zahniser]
  • A. Mary Davidson
    Mary Davidson is a family member of English actress and fashion designer Sadie Frost.
  • B. Martita Hunt
    Martita Hunt was a British character actress known for her distinguished stage work and memorable film roles in mid-20th-century cinema.
  • C. Helen Butkus
    Helen Butkus is best known as the wife of legendary Chicago Bears Hall of Fame linebacker Dick Butkus.
  • D. Lusia Strus
    Lusia Strus is an American actress and writer known for her distinctive character roles in film, television, and theater, including a memorable supporting performance in the romantic comedy "50 First Dates."
  • E. Betty Schaefer
    Betty Schaefer is an aspiring young screenwriter who becomes a key romantic and creative foil to Joe Gillis in the classic film noir Sunset Boulevard.
  • 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: Alice Zahniser
Triple: [Howard Zahniser, spouse, Alice Zahniser]
Generated description
Alice Zahniser was the wife of conservationist Howard Zahniser, noted for her support of his environmental and wilderness preservation work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alice Zahniser
Target entity description: Alice Zahniser was the wife of conservationist Howard Zahniser, noted for her support of his environmental and wilderness preservation work.
  • A. Mary Davidson
    Mary Davidson is a family member of English actress and fashion designer Sadie Frost.
  • B. Martita Hunt
    Martita Hunt was a British character actress known for her distinguished stage work and memorable film roles in mid-20th-century cinema.
  • C. Helen Butkus
    Helen Butkus is best known as the wife of legendary Chicago Bears Hall of Fame linebacker Dick Butkus.
  • D. Lusia Strus
    Lusia Strus is an American actress and writer known for her distinctive character roles in film, television, and theater, including a memorable supporting performance in the romantic comedy "50 First Dates."
  • E. Betty Schaefer
    Betty Schaefer is an aspiring young screenwriter who becomes a key romantic and creative foil to Joe Gillis in the classic film noir Sunset Boulevard.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae50e008190a660925074077344 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3c7754481908ff7cc0fc6419599 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d5c7c3a48190b8d1b5e351ebfbd5 completed March 28, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_69c7d639f7f08190a360bd2899e6fef8 completed March 28, 2026, 1:23 p.m.
Created at: March 27, 2026, 2:57 p.m.