Triple
T14699655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Shepherd |
E345258
|
entity |
| Predicate | durationOfStayWithAlanBennett |
P50746
|
FINISHED |
| Object | about 15 years |
—
|
LITERAL 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: about 15 years | Statement: [Miss Shepherd, durationOfStayWithAlanBennett, about 15 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationOfStayWithAlanBennett Context triple: [Miss Shepherd, durationOfStayWithAlanBennett, about 15 years]
-
A.
hasAllegedDuration
Indicates that a specified length of time is claimed or reported for something, but not confirmed as factual.
-
B.
endTimeOfStayOfVincentVanGogh
Indicates the date and time when Vincent van Gogh’s stay at a particular place or during a specific period concluded.
-
C.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
-
D.
eraDuration
Indicates the length of time that a particular era or period spans.
-
E.
residencyDuration
chosen
Indicates the length of time an entity has continuously resided or stayed in a particular place or jurisdiction.
- F. None of above.
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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.