Triple
T20280020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farewell to the Master |
E503113
|
entity |
| Predicate | notableTwist |
P112925
|
FINISHED |
| Object | revelation about Gnut’s true role |
—
|
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: revelation about Gnut’s true role | Statement: [Farewell to the Master, notableTwist, revelation about Gnut’s true role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTwist Context triple: [Farewell to the Master, notableTwist, revelation about Gnut’s true role]
-
A.
notableChange
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
-
B.
notableEnding
Indicates that an entity concludes or finishes in a way that is remarkable, memorable, or otherwise noteworthy.
-
C.
notableStory
Indicates that an entity is the subject or source of a story, account, or narrative that is considered notable or significant.
-
D.
notableFeatureInStory
chosen
Indicates that a particular feature, element, or characteristic plays a significant or prominent role within a story.
-
E.
notableVariation
Indicates that one entity represents a significant or noteworthy deviation or difference from another entity within a given context.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768ddfd0819098b2cc7fed0f4fe2 |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 10:36 a.m.