Triple
T26032734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chill |
E647476
|
entity |
| Predicate | hasFandomPerception |
P38677
|
FINISHED |
| Object | iconic Dr. Mario track |
—
|
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: iconic Dr. Mario track | Statement: [Chill, hasFandomPerception, iconic Dr. Mario track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFandomPerception Context triple: [Chill, hasFandomPerception, iconic Dr. Mario track]
-
A.
hasFandomElement
Indicates that something includes, features, or is associated with an element derived from or related to a fandom.
-
B.
fandomReception
chosen
Indicates how a work, character, or creator is perceived, evaluated, and responded to by its fan community.
-
C.
hasFanPerception
Indicates that an entity is perceived, interpreted, or regarded in a particular way by its fans or fan community.
-
D.
hasFanCommunity
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
-
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.
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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 22, 2026, 9:06 a.m.