Triple
T17058209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenys Thorpe |
E413880
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Glenys Thorpe |
E413880
|
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: Glenys Thorpe | Statement: [Glenys Thorpe, name, Glenys Thorpe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenys Thorpe Context triple: [Glenys Thorpe, name, Glenys Thorpe]
-
A.
Glenys Thorpe
chosen
Glenys Thorpe is a notable individual recognized as a bearer of the surname Thorpe.
-
B.
Rosemary Thorpe
Rosemary Thorpe is a person notable enough to be recognized as a significant bearer of the surname Thorpe.
-
C.
Ellen Grange
Ellen Grange is a central female character in the 1966 Western film "Duel at Diablo," whose troubled past and relationships drive much of the movie’s emotional and dramatic tension.
-
D.
Sylvia Hall
Sylvia Hall was a young girl taken captive during the 1862 Indian Creek massacre in Illinois, whose abduction and later ransom became a noted episode in American frontier history.
-
E.
Yealand Storrs
Yealand Storrs is a small rural village in Lancashire, England, situated within the scenic Arnside and Silverdale area known for its distinctive limestone landscapes and rich wildlife.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7b553c81908ec70ba0d0988710 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012349b2c88190a5c5e06a5cae1ac5 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.