Triple
T12186513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Translations from the Elvish (in-universe) |
E290347
|
entity |
| Predicate | motivationOfAuthor |
P19457
|
FINISHED |
| Object | personal scholarly interest |
—
|
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: personal scholarly interest | Statement: [Translations from the Elvish (in-universe), motivationOfAuthor, personal scholarly interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motivationOfAuthor Context triple: [Translations from the Elvish (in-universe), motivationOfAuthor, personal scholarly interest]
-
A.
motivationFor
chosen
Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
-
B.
laterMotivation
Indicates that one event, state, or action serves as a motivation or reason for another event, state, or action that occurs later in time.
-
C.
motivatedByGoal
Indicates that an action, behavior, or state occurs as a result of an intention to achieve a specific goal or desired outcome.
-
D.
inspiredAuthor
Indicates that one entity served as a source of creative or intellectual inspiration for an author entity.
-
E.
NobelPrizeMotivation
Indicates the specific reason or citation for which a Nobel Prize was awarded to a recipient.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.