Triple
T11981544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Page |
E285171
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | George Page |
E958129
|
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: George Page | Statement: [Anne Page, father, George Page]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Page Context triple: [Anne Page, father, George Page]
-
A.
George Page
chosen
George Page is a character in William Shakespeare’s comedy "The Merry Wives of Windsor," known as the respectable husband of Mistress Page.
-
B.
Leo Dryden
Leo Dryden was a popular late 19th- and early 20th-century British music hall singer known as the "Kipling of the Halls" for his patriotic and sentimental ballads.
-
C.
Harold Briggs
Harold Briggs was a British Army officer best known for devising and implementing the Briggs Plan to combat communist insurgency during the Malayan Emergency.
-
D.
George Stanley
George Stanley was an American sculptor best known for designing the iconic Oscar statuette for the Academy Awards.
-
E.
George Stanley
George Stanley was a Canadian-born poet and educator associated with the San Francisco Renaissance literary movement.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90395a8788190bfbb3506c29e3825 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d0791348190a2f6c0e808af3aea |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.