Triple
T16436682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crying in the Rain |
E399195
|
entity |
| Predicate | hasReRecordedVersions |
P28478
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Crying in the Rain, hasReRecordedVersions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReRecordedVersions Context triple: [Crying in the Rain, hasReRecordedVersions, true]
-
A.
hasMultipleVersions
chosen
Indicates that an entity exists in more than one distinct version or revision.
-
B.
hasRecordingWith
Indicates that one entity is associated with or includes a particular recording as part of its content or representation.
-
C.
recordedVersion
Indicates that one entity is a specific recorded version or recording of another entity (such as a work, performance, or composition).
-
D.
hasVersionCount
Indicates the total number of distinct versions associated with a given entity.
-
E.
hasReRecordingPurpose
Indicates that an entity is associated with a specific purpose or intent for which a recording is being re-recorded.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba49f3481908e7ea62467ef5813 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.