Triple
T35481847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Sister |
E1025489
|
entity |
| Predicate | lastKnownWielder |
P183337
|
FINISHED |
| Object | Brynden Rivers |
—
|
NE NERFINISHED |
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: Brynden Rivers | Statement: [Dark Sister, lastKnownWielder, Brynden Rivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastKnownWielder Context triple: [Dark Sister, lastKnownWielder, Brynden Rivers]
-
A.
laterWielder
Indicates that one entity becomes the wielder or user of an object or power after another entity who wielded it earlier.
-
B.
hasNotableWeaponNamedAfter
Indicates that an entity possesses a notable weapon that is named after another specific entity.
-
C.
wieldedFrom
Indicates that an entity uses or brandishes another entity as a weapon or tool originating from a particular source or location.
-
D.
sideHeldBy
Indicates that a particular side or aspect of something is possessed, controlled, or supported by a specific entity.
-
E.
formerWeapon
Indicates that an entity once functioned as a weapon but no longer serves in that role.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:04 p.m.