Triple
T5555950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horatio Gates |
E145640
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Elizabeth Phillips |
E145640
|
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: Elizabeth Phillips | Statement: [Horatio Gates, spouse, Elizabeth Phillips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizabeth Phillips Context triple: [Horatio Gates, spouse, Elizabeth Phillips]
-
A.
Elizabeth Phillips
chosen
Elizabeth Phillips was the wife of American Revolutionary War general Horatio Gates.
-
B.
Phyllis Stephens
Phyllis Stephens is an individual known primarily through her family connection to Wren Alexander Stephens.
-
C.
Phyllis Nicolson
Phyllis Nicolson was a British mathematician and physicist best known for co-developing the Crank–Nicolson numerical method for solving partial differential equations.
-
D.
Elizabeth Phillips Hughes
Elizabeth Phillips Hughes was a pioneering Welsh educator and academic who played a key role in advancing women's higher education in the late 19th and early 20th centuries.
-
E.
Phyllis Povah
Phyllis Povah was an American stage and film actress best known for her work in mid-20th-century Hollywood and Broadway productions.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ffc5e7c81908e1c454d3bfd357b |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e69e9188190a4dd94c34657a74f |
completed | March 23, 2026, 4:46 p.m. |
Created at: March 22, 2026, 3:36 p.m.