Triple
T2427677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gritty |
E53568
|
entity |
| Predicate | popCultureStatus |
P15613
|
FINISHED |
| Object | instant pop-culture phenomenon |
—
|
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: instant pop-culture phenomenon | Statement: [Gritty, popCultureStatus, instant pop-culture phenomenon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popCultureStatus Context triple: [Gritty, popCultureStatus, instant pop-culture phenomenon]
-
A.
popularCultureStatus
chosen
Indicates the degree to which something is recognized, influential, or prominent within mainstream popular culture.
-
B.
inPopularCulture
Indicates that an entity is referenced, depicted, or otherwise present within works or discussions of popular culture.
-
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.
fanCultureElement
Indicates a relationship where something is a notable practice, artifact, or tradition that characterizes or expresses a particular fan culture.
-
E.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:42 p.m.