Triple
T35481979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House Blackfyre |
E1025492
|
entity |
| Predicate | weaponNamesake |
P80463
|
FINISHED |
| Object | Blackfyre |
—
|
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: Blackfyre | Statement: [House Blackfyre, weaponNamesake, Blackfyre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponNamesake Context triple: [House Blackfyre, weaponNamesake, Blackfyre]
-
A.
weaponName
Indicates that an entity has or is associated with a specific weapon identified by its name.
-
B.
hasNotableWeaponNamedAfter
chosen
Indicates that an entity possesses a notable weapon that is named after another specific entity.
-
C.
weaponsRepresent
Indicates that certain weapons serve as symbols or embodiments of something, such as ideas, groups, or values.
-
D.
weaponForgedFor
Indicates that a weapon was specifically created or crafted for a particular entity, purpose, or context.
-
E.
weaponTheme
Indicates that one entity is thematically associated with or characterized by weapons in relation to the other entity.
- F. None of above.
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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:04 p.m.