Triple
T20178246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goosebumps SlappyWorld |
E492655
|
entity |
| Predicate | narrativeRoleOfSlappy |
P83930
|
FINISHED |
| Object | narrator in some books |
—
|
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: narrator in some books | Statement: [Goosebumps SlappyWorld, narrativeRoleOfSlappy, narrator in some books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeRoleOfSlappy Context triple: [Goosebumps SlappyWorld, narrativeRoleOfSlappy, narrator in some books]
-
A.
narrativeCharacter
Indicates that one entity functions as a character within the narrative or story associated with another entity.
-
B.
narrativeRoleInSeries
chosen
Indicates the specific narrative function or role an entity plays within a particular series or serialized work.
-
C.
roleInStories
Indicates the specific function, position, or character part an entity plays within one or more stories.
-
D.
inNarrativeRole
Indicates that one entity participates in relation to another by occupying a specific narrative function or role within a story or discourse.
-
E.
storyCharacterizedAs
Indicates that a story is described, portrayed, or defined as having a particular quality, style, or attribute.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668ed07c8819091bd9ffda237a91c |
completed | April 20, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:36 p.m.