Triple
T14780136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gendry |
E347368
|
entity |
| Predicate | trainedBy |
P3665
|
FINISHED |
| Object | Tobho Mott |
E1119016
|
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: Tobho Mott | Statement: [Gendry, trainedBy, Tobho Mott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tobho Mott Context triple: [Gendry, trainedBy, Tobho Mott]
-
A.
Tobho Mott
chosen
Tobho Mott is a renowned master armorer in King's Landing in the world of *A Song of Ice and Fire*, famed for his exceptional metalwork and skill with rare materials like Valyrian steel.
-
B.
Mott
Mott is a surname most notably associated with Sir Nevill Mott, the Nobel Prize–winning British physicist recognized for his work on the electronic structure of magnetic and disordered systems.
-
C.
Ma Mott
Ma Mott is a fictional character from the work "None but the Lonely Heart," likely serving as a supporting figure in its narrative.
-
D.
Sam Mills
Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
-
E.
Mazz Murray
Mazz Murray is a British stage actress and singer best known for her leading roles in major West End musicals.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9c7cac8190ba900df95e42e318 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b626c48190a6aa9eda43539246 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.