Triple
T38370209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Community |
E892554
|
entity |
| Predicate | hasFandomSlogan |
P132650
|
FINISHED |
| Object | six seasons and a movie |
—
|
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: six seasons and a movie | Statement: [Community, hasFandomSlogan, six seasons and a movie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFandomSlogan Context triple: [Community, hasFandomSlogan, six seasons and a movie]
-
A.
hasFandomDesignation
Indicates that an entity has a specific name or label used by its fan community to refer to it or its fandom.
-
B.
hasSloganType
Indicates the specific category or type of slogan associated with an entity.
-
C.
hasFandomElement
Indicates that something includes, features, or is associated with an element derived from or related to a fandom.
-
D.
hasSloganLanguage
Indicates that a slogan is expressed or written in a particular language.
-
E.
hasSloganOrKeyPhrase
chosen
Indicates that an entity is associated with a specific slogan, tagline, or key phrase used to represent or promote it.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
Created at: May 3, 2026, 4:31 p.m.