Triple
T19863008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs Dale |
E477314
|
entity |
| Predicate | relativeOf |
P367
|
FINISHED |
| Object | Lily Dale |
—
|
NE NERFINISHED |
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: Lily Dale | Statement: [Mrs Dale, relativeOf, Lily Dale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lily Dale Context triple: [Mrs Dale, relativeOf, Lily Dale]
-
A.
Lily Dale
chosen
Lily Dale is a central, emotionally complex heroine in Anthony Trollope’s Barsetshire novels, known for her constancy in love and quiet moral strength.
-
B.
Minley
Minley is a village in Hampshire, England, known for its rural setting and proximity to military facilities such as Gibraltar Barracks.
-
C.
Almaville
Almaville is an unincorporated community located in Rutherford County, Tennessee, known for its rural residential character.
-
D.
Beulah Hill
Beulah Hill is a residential and commercial area in the London Borough of Croydon, known for its elevated position and views over the city.
-
E.
Barn Hill
Barn Hill is a wooded hillside area within Kinnoull Hill Woodland Park in Perth, Scotland, known for its natural trails and scenic surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589c4c0081908cd51ff75441e7ac |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.