Triple
T35481992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House Blackfyre |
E1025492
|
entity |
| Predicate | statusDuringMainSeries |
P140159
|
FINISHED |
| Object | extinct |
—
|
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: extinct | Statement: [House Blackfyre, statusDuringMainSeries, extinct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusDuringMainSeries Context triple: [House Blackfyre, statusDuringMainSeries, extinct]
-
A.
statusWithinSeries
Indicates the position or rank that something holds within an ordered series or sequence.
-
B.
statusAtStartOfSeries
Indicates the condition or state an entity has at the beginning of a specified series or sequence.
-
C.
seriesStatus
Indicates the current state or phase of a series within its lifecycle (e.g., ongoing, completed, canceled, or planned).
-
D.
mainSeries
Indicates that one creative work is the primary or canonical series to which another related work (such as a spin-off, side story, or adaptation) belongs.
-
E.
statusBySeriesEnd
chosen
Indicates the condition or outcome of an entity as it stands at the conclusion of a particular series.
- 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_69ff84df768c81908c65a1a7e33103ad |
completed | May 9, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69ff848d0af881908ee42c27a58af47e |
completed | May 9, 2026, 7:01 p.m. |
Created at: May 3, 2026, 4:04 p.m.