Triple
T25806835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariah Carey singles chronology |
E649988
|
entity |
| Predicate | mayBeSegmentedBy |
P161480
|
FINISHED |
| Object | studio album era |
—
|
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: studio album era | Statement: [Mariah Carey singles chronology, mayBeSegmentedBy, studio album era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeSegmentedBy Context triple: [Mariah Carey singles chronology, mayBeSegmentedBy, studio album era]
-
A.
isSpaceSegmentOf
Indicates that one spatial region or segment is a constituent part or subdivision of a larger spatial extent or segment.
-
B.
hasMultipleSegments
Indicates that the referenced entity is composed of more than one distinct segment or section.
-
C.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
-
D.
hasSegmentBasedOn
Indicates that one segment is derived from, modeled after, or constructed using another segment as its basis.
-
E.
hasSegmentWith
Indicates that an entity contains or includes at least one segment that satisfies a specified condition or matches a given segment.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f613bc641c819084343cc78d080640 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f613502d808190b89927e5e734b43a |
completed | May 2, 2026, 3:08 p.m. |
Created at: April 22, 2026, 7:04 a.m.