Triple
T16438410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Disco |
E399233
|
entity |
| Predicate | eraDefined |
P54472
|
FINISHED |
| Object | disco 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: disco era | Statement: [Queen of Disco, eraDefined, disco era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraDefined Context triple: [Queen of Disco, eraDefined, disco era]
-
A.
eraDefinition
chosen
Indicates the specific time period or historical era during which something is defined, classified, or considered valid.
-
B.
eraType
Indicates the classification of a time period or era according to its type or category.
-
C.
eraDescribed
Indicates that a subject provides a description or characterization of a particular historical or temporal era.
-
D.
eraReference
Indicates a temporal relationship where something is associated with, situated in, or characterized by a particular historical era or time period.
-
E.
eraName
Indicates the named historical or chronological era associated with an entity or time period.
- 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_69e32ba5a4748190b63ff53bfb5957c7 |
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.