Triple
T35016960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon & Marcy |
E1010078
|
entity |
| Predicate | hasFandomReputationAs |
P195559
|
FINISHED |
| Object | one of the most emotional Adventure Time episodes |
—
|
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: one of the most emotional Adventure Time episodes | Statement: [Simon & Marcy, hasFandomReputationAs, one of the most emotional Adventure Time episodes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFandomReputationAs Context triple: [Simon & Marcy, hasFandomReputationAs, one of the most emotional Adventure Time episodes]
-
A.
hasFandomAssociation
Indicates a relationship where an entity is associated with, connected to, or recognized within a particular fandom or fan community.
-
B.
hasFanCommunity
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
-
C.
fandomSignificance
Indicates the degree to which something holds importance, influence, or prominence within a particular fan community or fandom context.
-
D.
hasFandomElement
Indicates that something includes, features, or is associated with an element derived from or related to a fandom.
-
E.
hasFandomDesignation
Indicates that an entity has a specific name or label used by its fan community to refer to it or its fandom.
- F. None of above. chosen
Provenance (4 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69fdd922d73c81908ad3faade247ec16 |
completed | May 8, 2026, 12:37 p.m. |
Created at: May 3, 2026, 4:01 p.m.