Triple
T17448340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Thomas Brisbane |
E424845
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Anna Maria Hay |
—
|
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: Anna Maria Hay | Statement: [Sir Thomas Brisbane, spouse, Anna Maria Hay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Maria Hay Context triple: [Sir Thomas Brisbane, spouse, Anna Maria Hay]
-
A.
Anna Maria Hay
chosen
Anna Maria Hay was a 19th-century Scottish gentlewoman best known as the wife of astronomer and colonial governor Sir Thomas Brisbane.
-
B.
Anna Maria Shipley
Anna Maria Shipley was the wife of the renowned Welsh philologist and judge Sir William Jones, connected to prominent intellectual and clerical circles in 18th-century Britain.
-
C.
Elizabeth Davis
Elizabeth Davis is an American academic leader and administrator who serves as the president of Furman University.
-
D.
Anna Maria Horsford
Anna Maria Horsford is an American actress known for her comedic and dramatic roles in film and television, including prominent appearances in projects like the 1995 movie "Friday."
-
E.
Anna Maria North
Anna Maria North is known as the wife of acclaimed American film composer Alex North.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffe18f08190be023de89e3d7d5c |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.