Triple
T35186244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Literary Ace |
E1015989
|
entity |
| Predicate | hasAudienceInStory |
P99109
|
FINISHED |
| Object | other Peanuts characters |
—
|
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: other Peanuts characters | Statement: [The Literary Ace, hasAudienceInStory, other Peanuts characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudienceInStory Context triple: [The Literary Ace, hasAudienceInStory, other Peanuts characters]
-
A.
audienceWithinStory
chosen
Indicates that an audience exists as an internal, in-story observer or listener within the narrative itself, rather than outside it.
-
B.
hasAffiliationInStory
Indicates that one entity is affiliated with, associated with, or connected to another entity within the context of a specific story or narrative.
-
C.
hasAudience
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
D.
hasStaffTypeInStory
Indicates that a story involves or is associated with a particular type or category of staff.
-
E.
hasFandomWithinStory
Indicates that within the narrative of a story, one entity is a fan or admirer of another entity (such as a character, group, or work) that exists inside that same story world.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 3, 2026, 4:02 p.m.