Triple
T14485160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Colston |
E359208
|
entity |
| Predicate | childhoodSetting |
P5279
|
FINISHED |
| Object | Norfolk country house |
—
|
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: Norfolk country house | Statement: [Leo Colston, childhoodSetting, Norfolk country house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childhoodSetting Context triple: [Leo Colston, childhoodSetting, Norfolk country house]
-
A.
spentChildhoodIn
chosen
Indicates that a person or entity spent the majority or formative years of their childhood in a particular place or location.
-
B.
children
Indicates that one entity is the offspring or direct descendant of another entity.
-
C.
childDuring
Indicates that one entity is the child of another specifically during a given time interval or temporal context.
-
D.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
-
E.
childrenCollective
Indicates a collective group composed of the children of a given entity.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.