Triple
T29445655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star Wars fandom |
E746837
|
entity |
| Predicate | hasPositiveAspect |
P127095
|
FINISHED |
| Object | community building |
—
|
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: community building | Statement: [Star Wars fandom, hasPositiveAspect, community building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositiveAspect Context triple: [Star Wars fandom, hasPositiveAspect, community building]
-
A.
hasPositiveConnotation
Indicates that something is associated with favorable, pleasant, or approving meanings, feelings, or implications.
-
B.
portraysPositively
Indicates that one entity represents or depicts another entity in a favorable or positive manner.
-
C.
hasPositiveForm
Indicates that one form, variant, or expression is the positive (non-comparative, non-superlative, or affirmative) version of another.
-
D.
positivityProperty
chosen
Indicates that something possesses a positive, beneficial, or favorable quality, effect, or evaluation.
-
E.
positiveValueMeans
Indicates that a positive numerical value for a property or measure corresponds to the presence, increase, or affirmation of the associated condition or effect.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 28, 2026, 3:27 p.m.