Triple
T32114141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glittering Caves |
E820192
|
entity |
| Predicate | inspiredGimliTo |
P63928
|
FINISHED |
| Object | wish to bring Dwarves to work there |
—
|
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: wish to bring Dwarves to work there | Statement: [Glittering Caves, inspiredGimliTo, wish to bring Dwarves to work there]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredGimliTo Context triple: [Glittering Caves, inspiredGimliTo, wish to bring Dwarves to work there]
-
A.
broughtToMiddleEarthBy
Indicates that one entity is the agent or means by which another entity was transported or introduced into Middle-earth.
-
B.
partlyInspiredBy
Indicates that one entity has been influenced to some extent, but not wholly, by another entity in its creation, development, or form.
-
C.
Listoghil
Indicates a relationship in which an entity is associated with or belongs to the place or context referred to as Listoghil.
-
D.
hasInspired
chosen
Indicates that one entity has served as a source of motivation, creativity, or influence leading to ideas, actions, or works in another entity.
-
E.
inspiredByFictionalCharacter
Indicates that an entity’s characteristics, actions, or creation are influenced or modeled after a specific fictional character.
- 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 1, 2026, 12:28 a.m.