Triple
T2472398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. R. Haldeman |
E55006
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Haldeman |
E55768
|
NE FINISHED |
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: [H. R. Haldeman, hasFamilyName, Haldeman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haldeman Context triple: [H. R. Haldeman, hasFamilyName, 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.
Maye Haldeman
Maye Haldeman is a Canadian-South African model and dietitian best known as Maye Musk, the mother of entrepreneur Elon Musk and a prominent figure in fashion and nutrition.
-
D.
Leibowitz
Leibowitz is the birth surname of American comedian and former "The Daily Show" host Jon Stewart.
-
E.
Jack Williamson
Jack Williamson was an influential American science fiction author whose long career and imaginative works helped define the genre’s Golden Age.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd138872481908184e06d3584718e |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17a5bb04819090b3156a9819b87d |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:45 p.m.