Triple
T14779984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandor Clegane |
E347365
|
entity |
| Predicate | refusesTitle |
P116068
|
FINISHED |
| Object | knighthood (in the novels) |
—
|
LITERAL 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: knighthood (in the novels) | Statement: [Sandor Clegane, refusesTitle, knighthood (in the novels)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refusesTitle Context triple: [Sandor Clegane, refusesTitle, knighthood (in the novels)]
-
A.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
B.
removedTitle
Indicates that an entity no longer holds or uses a previously assigned title or designation.
-
C.
opposedTitle
Indicates that one entity holds a title, position, or role that is in opposition or rivalry to the title, position, or role held by another entity.
-
D.
usedTitleFrom
Indicates that one entity has employed or adopted the title originating from another entity.
-
E.
providedTitle
Indicates that one entity has supplied or assigned a specific title or designation to another entity.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90c5e3a08190868680b081308c1d |
completed | April 14, 2026, 7:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.