Triple
T14688550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King in the North |
E344976
|
entity |
| Predicate | revivedAfter |
P115338
|
FINISHED |
| Object | execution of Eddard Stark |
—
|
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: execution of Eddard Stark | Statement: [The King in the North, revivedAfter, execution of Eddard Stark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revivedAfter Context triple: [The King in the North, revivedAfter, execution of Eddard Stark]
-
A.
revivedAs
Indicates that an entity, after having ceased to exist or function in its original form, comes back into existence or operation in a new or restored form.
-
B.
revivedBy
Indicates that an entity has been brought back to life, consciousness, or active state through the action or intervention of another entity.
-
C.
revival
Indicates the act of bringing something back into use, popularity, or active existence after a period of decline, dormancy, or disuse.
-
D.
revivedForFilm
Indicates that something (such as a character, series, or concept) was brought back into use or existence specifically for a film adaptation or production.
-
E.
hasRevivalsIn
Indicates that something has been brought back, renewed, or reintroduced in specific times, places, or contexts.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5844de481908a796eaa474bfde9 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:28 a.m.