Triple
T17822299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Aiken |
E445015
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Maud Aiken |
—
|
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: Maud Aiken | Statement: [Frank Aiken, spouse, Maud Aiken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maud Aiken Context triple: [Frank Aiken, spouse, Maud Aiken]
-
A.
Maud Aiken
chosen
Maud Aiken was the wife of Irish revolutionary and long-serving politician Frank Aiken, associated with Ireland’s early 20th-century political and social life.
-
B.
Gertrude Hunt
Gertrude Hunt was the individual in whose honor the Hunt Museum was named, likely a key figure connected to its founding or collection.
-
C.
Muriel Murphy
Muriel Murphy was the wife of Irish republican leader Terence MacSwiney and a member of the prominent Cork Murphy brewing family.
-
D.
Muriel McClure
Muriel McClure was the wife of Nobel Prize–winning geneticist George W. Beadle.
-
E.
Muriel Brown
Muriel Brown is a fictional character in the French film "Two English Girls," which explores a complex romantic relationship between two English sisters and a Frenchman in the early 20th century.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48911b660819097fc7ea94665a02a |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.