Triple
T18122468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnifred Josephine Haldeman |
E433774
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Haldeman |
—
|
NE NERFINISHED |
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: Haldeman | Statement: [Winnifred Josephine Haldeman, familyName, Haldeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haldeman Context triple: [Winnifred Josephine Haldeman, familyName, Haldeman]
-
A.
Haldeman
Haldeman is the maiden surname of model and dietitian Maye Musk, mother of entrepreneur Elon Musk.
-
B.
Haldeman
chosen
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.
-
C.
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.
-
D.
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.
-
E.
Joe Haldeman
Joe Haldeman is an American science fiction author best known for his award-winning novel "The Forever War," which explores the impacts of war and relativistic time dilation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddeb2d7881909326cb9d2f5e2fb5 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.