Triple
T22876856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maseo |
E567347
|
entity |
| Predicate | activeInGenreSince |
P63840
|
FINISHED |
| Object | late 1980s |
—
|
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: late 1980s | Statement: [Maseo, activeInGenreSince, late 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeInGenreSince Context triple: [Maseo, activeInGenreSince, late 1980s]
-
A.
isInGenreOfArtistCareer
Indicates that an artist’s career belongs to or is categorized within a particular artistic genre.
-
B.
hasGenrePeriod
chosen
Indicates a relationship where an entity is associated with a specific historical or stylistic period that characterizes its genre.
-
C.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
D.
hasGenreRevivalEffectOn
Indicates that one genre contributes to the renewed popularity, resurgence, or revitalization of another genre.
-
E.
activeYearsInFilm
Indicates the span of years during which an entity was actively involved in film-related work or roles.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5966c08190a9ded9b19b166112 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:39 p.m.