Triple
T9115758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Company of Thorin |
E218714
|
entity |
| Predicate | associatedRace |
P51003
|
FINISHED |
| Object | Maiar |
E675417
|
NE 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: Maiar | Statement: [Company of Thorin, associatedRace, Maiar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maiar Context triple: [Company of Thorin, associatedRace, Maiar]
-
A.
Maiar
chosen
The Maiar are powerful, angelic spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians of the world, including figures like Gandalf and Sauron.
-
B.
Maera
Maera is a figure from Greek mythology counted among the many descendants of the Titan Atlas.
-
C.
Tigani
Tigani is the former name of the town now known as Pythagoreio, a historic coastal settlement on the Greek island of Samos.
-
D.
Nyota
Nyota is the first name of Nyota Uhura, the pioneering Star Trek communications officer known as one of the earliest prominent Black female characters in American television science fiction.
-
E.
Mira
Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a1340881909dc791b825e87ef2 |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0306837c0819099cd77925df0848d |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:16 p.m.