Triple
T31624443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Album |
E806982
|
entity |
| Predicate | containsRecordingsUntilYear |
P178170
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [The Red Album, containsRecordingsUntilYear, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsRecordingsUntilYear Context triple: [The Red Album, containsRecordingsUntilYear, 1966]
-
A.
containsRecordingsFromYears
Indicates that something includes recordings that originate from specific years.
-
B.
includesRecordingsBy
Indicates that one entity (such as a collection, album, or compilation) contains or features recordings created or performed by another entity (such as an artist or group).
-
C.
endYearOfRecordings
chosen
Indicates the year in which a series or set of recordings was completed or last made.
-
D.
hasMultipleRecordings
Indicates that the same work, performance, or item exists in more than one distinct recorded version.
-
E.
hasRecordingHistory
Indicates that an entity has an associated record of past recordings or recorded events.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
Created at: April 30, 2026, 10:42 p.m.