Triple
T30094744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whizzer Brown |
E764830
|
entity |
| Predicate | fandomCommunity |
P168442
|
FINISHED |
| Object | Falsettos fandom |
—
|
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: Falsettos fandom | Statement: [Whizzer Brown, fandomCommunity, Falsettos fandom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fandomCommunity Context triple: [Whizzer Brown, fandomCommunity, Falsettos fandom]
-
A.
fandomFocus
Indicates that one entity is primarily centered on, dedicated to, or concerned with the fan community or fan-related aspects of another entity.
-
B.
fandomScope
Indicates the extent or boundaries of a fandom-related relationship, such as how broadly or narrowly a fan’s interest, participation, or recognition applies.
-
C.
fandomCulture
Indicates a relationship where one entity is associated with, shaped by, or participates in the shared practices, norms, and creative activities of a particular fan community.
-
D.
fandomContext
Indicates that the relationship or action occurs specifically within the context of a particular fandom or fan community.
-
E.
fandomActivity
Indicates participation in or engagement with fan-related activities centered around a particular work, person, or franchise.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d8f52e88190b3a11f62835ea328 |
completed | May 2, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:07 p.m.