Triple
T14638791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dothraki |
E343671
|
entity |
| Predicate | leaderTitle |
P8
|
FINISHED |
| Object | Khaleesi |
E352278
|
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: Khaleesi | Statement: [Dothraki, leaderTitle, Khaleesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khaleesi Context triple: [Dothraki, leaderTitle, Khaleesi]
-
A.
Khaleesi
chosen
"Khaleesi" is an instrumental track from the Game of Thrones: Season 6 soundtrack, composed by Ramin Djawadi and thematically associated with Daenerys Targaryen.
-
B.
Nymeria
Nymeria is Arya Stark’s fierce direwolf companion in the world of Game of Thrones/A Song of Ice and Fire.
-
C.
Leira
Leira is a river in southeastern Norway that serves as one of the tributaries feeding into the country’s longest river, the Glomma.
-
D.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
E.
Saraya
Saraya is a professional wrestler best known for her groundbreaking WWE career under the name Paige and later work in All Elite Wrestling.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aca6448190adf1042dfbfef716 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d2059081908150b6534aebb32f |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.