Triple
T17232355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Carew |
E418272
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Carew |
E618129
|
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: Carew | Statement: [Emma Carew, familyName, Carew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carew Context triple: [Emma Carew, familyName, Carew]
-
A.
Carew
chosen
Carew is a surname most famously associated with Hall of Fame Major League Baseball player Rod Carew.
-
B.
Charlesworth
Charlesworth is a small village and civil parish in Derbyshire, England, situated near the town of Glossop on the edge of the Peak District.
-
C.
Weedon Scott
Weedon Scott is a compassionate gold hunter and later a mining expert in Jack London’s novel "White Fang," who befriends and civilizes the wild wolfdog protagonist.
-
D.
Ryle
Ryle is a surname most notably associated with Gilbert Ryle, a 20th-century British philosopher known for his critique of Cartesian dualism and the concept of the "ghost in the machine."
-
E.
Michael Carver
Michael Carver is a person notable enough to be recognized as a significant bearer of the surname Carver.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df7da748190a3a1762a67eb871b |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016760873c8190bab70ad4ca0c6d8e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.