Triple
T24456702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infestation |
E616708
|
entity |
| Predicate | mainGenrePeriodReferenced |
P63840
|
FINISHED |
| Object | 1980s glam metal |
—
|
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: 1980s glam metal | Statement: [Infestation, mainGenrePeriodReferenced, 1980s glam metal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainGenrePeriodReferenced Context triple: [Infestation, mainGenrePeriodReferenced, 1980s glam metal]
-
A.
hasGenrePeriod
chosen
Indicates a relationship where an entity is associated with a specific historical or stylistic period that characterizes its genre.
-
B.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
C.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
D.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
E.
seriesGenreOfNotableWork
Indicates that a particular genre characterizes the notable work associated with a series.
- 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_69e2d7ef9fe08190a0613908758b4e86 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f298c6f00081909e459c7a3534c658 |
completed | April 29, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:18 a.m.