Triple
T29295458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roland Deschain |
E742815
|
entity |
| Predicate | firstGreatLove |
P95052
|
FINISHED |
| Object | Susan Delgado |
—
|
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: Susan Delgado | Statement: [Roland Deschain, firstGreatLove, Susan Delgado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGreatLove Context triple: [Roland Deschain, firstGreatLove, Susan Delgado]
-
A.
firstBlessing
Indicates that an entity is the initial recipient or instance of a blessing in relation to another entity or context.
-
B.
fellInLoveWith
chosen
Indicates that one entity developed romantic love or deep affectionate feelings toward another entity.
-
C.
isBelovedOf
Indicates that one entity is deeply loved, cherished, or held in special affection by another entity.
-
D.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
E.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a00bb3a6f888190b3ecd0fbc9af9b4a |
completed | May 10, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_6a00b902dbf881909e098ff102b7ea7e |
completed | May 10, 2026, 4:57 p.m. |
Created at: April 28, 2026, 1:06 p.m.