Triple
T8842043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh My God |
E210409
|
entity |
| Predicate | belongsToPeriodInArtistCareer |
P30618
|
FINISHED |
| Object | post-hiatus return after 25 |
—
|
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: post-hiatus return after 25 | Statement: [Oh My God, belongsToPeriodInArtistCareer, post-hiatus return after 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPeriodInArtistCareer Context triple: [Oh My God, belongsToPeriodInArtistCareer, post-hiatus return after 25]
-
A.
timeInArtistCareer
chosen
Indicates the point or period within an artist’s professional career at which a given event, work, or activity occurs.
-
B.
associatedWithArtistEra
Indicates a relationship where an artist is linked to a particular artistic era or period with which their work or influence is identified.
-
C.
isInGenreOfArtistCareer
Indicates that an artist’s career belongs to or is categorized within a particular artistic genre.
-
D.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
E.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60876c6c8190b1b490e447e1cf4b |
completed | April 1, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:48 p.m.