Triple
T14366692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorah Mormont |
E356252
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Ser |
E1082626
|
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: Ser | Statement: [Jorah Mormont, title, Ser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ser Context triple: [Jorah Mormont, title, Ser]
-
A.
Ser
chosen
Ser is a knightly honorific used in the world of "A Song of Ice and Fire" and "Game of Thrones," equivalent to "Sir" in addressing knights.
-
B.
Sen
Sen is a common Indian surname, particularly prevalent among Bengali communities and associated with numerous notable figures in academia, arts, and public life.
-
C.
SER
SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
-
D.
Serio
Serio is a river in northern Italy that flows through the Lombardy region and joins the Adda River.
-
E.
Sher
Sher is a surname most notably associated with American cinematographer Lawrence Sher, known for his work on films like "Joker" and "The Hangover" series.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4fa3788190b7fa5c34620c3ada |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.