Triple
T18780027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aulë |
E459231
|
entity |
| Predicate | universe |
P4832
|
FINISHED |
| Object | Arda |
—
|
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: Arda | Statement: [Aulë, universe, Arda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arda Context triple: [Aulë, universe, Arda]
-
A.
Arda
chosen
Arda is the fictional world created by J.R.R. Tolkien that encompasses Middle-earth and other lands within his legendarium.
-
B.
Arda
Arda is a river in the Balkans that flows through Bulgaria and Greece before joining the Maritsa River.
-
C.
Krondon
Krondon is an American rapper and actor best known as a member of the hip hop group Strong Arm Steady and for voicing Tombstone in the animated series "The Spectacular Spider-Man."
-
D.
Erendis
Erendis is a Númenórean woman from J.R.R. Tolkien’s legendarium, best known for her tragic marriage to Aldarion and her prominent role in the tale “Aldarion and Erendis” in Unfinished Tales.
-
E.
Khazad-dûm
Khazad-dûm is the vast, ancient underground Dwarven city and mine beneath the Misty Mountains, later known as Moria in J.R.R. Tolkien’s Middle-earth legendarium.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933e35a481908c21f7f488e1dd99 |
completed | April 20, 2026, 2:45 a.m. |
Created at: April 10, 2026, 11:52 a.m.