Triple

T12132942
Position Surface form Disambiguated ID Type / Status
Subject Joe Haldeman E288978 entity
Predicate spouse P13 FINISHED
Object Gay Haldeman
Gay Haldeman is an American writer, editor, and teacher best known for her long partnership and collaborations with science fiction author Joe Haldeman.
E963987 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: Gay Haldeman | Statement: [Joe Haldeman, spouse, Gay Haldeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gay Haldeman
Context triple: [Joe Haldeman, spouse, Gay Haldeman]
  • A. Samuel Stehman Haldeman
    Samuel Stehman Haldeman was a 19th-century American naturalist, philologist, and academic known for his influential work in linguistics and the natural sciences.
  • B. Haldeman
    Haldeman is the maiden surname of model and dietitian Maye Musk, mother of entrepreneur Elon Musk.
  • C. Haldeman
    Haldeman is a surname most notably associated with H. R. Haldeman, the White House Chief of Staff under U.S. President Richard Nixon and a central figure in the Watergate scandal.
  • D. Bob Haldeman
    Bob Haldeman was a key aide and White House Chief of Staff to U.S. President Richard Nixon, best known for his central role in the Watergate scandal.
  • E. E.C. Row
    E.C. Row is a major urban expressway in Windsor, Ontario, serving as a key east–west transportation corridor through the city.
  • 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: Gay Haldeman
Triple: [Joe Haldeman, spouse, Gay Haldeman]
Generated description
Gay Haldeman is an American writer, editor, and teacher best known for her long partnership and collaborations with science fiction author Joe Haldeman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gay Haldeman
Target entity description: Gay Haldeman is an American writer, editor, and teacher best known for her long partnership and collaborations with science fiction author Joe Haldeman.
  • A. Samuel Stehman Haldeman
    Samuel Stehman Haldeman was a 19th-century American naturalist, philologist, and academic known for his influential work in linguistics and the natural sciences.
  • B. Haldeman
    Haldeman is the maiden surname of model and dietitian Maye Musk, mother of entrepreneur Elon Musk.
  • C. Haldeman
    Haldeman is a surname most notably associated with H. R. Haldeman, the White House Chief of Staff under U.S. President Richard Nixon and a central figure in the Watergate scandal.
  • D. Bob Haldeman
    Bob Haldeman was a key aide and White House Chief of Staff to U.S. President Richard Nixon, best known for his central role in the Watergate scandal.
  • E. E.C. Row
    E.C. Row is a major urban expressway in Windsor, Ontario, serving as a key east–west transportation corridor through the city.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68c8ee081908a0331805f62cb0d completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fed2d57881908103ce89a365cdd4 completed May 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69f600bcaf288190b6204f985d3be638 completed May 2, 2026, 1:48 p.m.
Created at: April 8, 2026, 9:49 p.m.