Triple
T20010996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doubtful Guest |
E494587
|
entity |
| Predicate | centralCreatureDescription |
P18265
|
FINISHED |
| Object | long-scarfed, beaked, otter-like being |
—
|
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: long-scarfed, beaked, otter-like being | Statement: [The Doubtful Guest, centralCreatureDescription, long-scarfed, beaked, otter-like being]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralCreatureDescription Context triple: [The Doubtful Guest, centralCreatureDescription, long-scarfed, beaked, otter-like being]
-
A.
mainMonsterDescription
chosen
Indicates the primary descriptive text that characterizes the main monster in a given context or scenario.
-
B.
monsterCharacteristic
Indicates that a monster possesses a particular attribute, trait, or quality.
-
C.
mentionsCreature
Indicates that one entity refers to or brings up a particular creature in some form of communication or content.
-
D.
featuresCreatureOrLegend
Indicates that something includes, depicts, or prominently involves a particular creature or legendary being.
-
E.
featuresMonster
Indicates that something includes or prominently presents a monster as part of its content or composition.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662362df48190abf16129eea39985 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.