Triple
T12365962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auto-Tune |
E294869
|
entity |
| Predicate | firstMajorHitUsageYear |
P81076
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Auto-Tune, firstMajorHitUsageYear, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorHitUsageYear Context triple: [Auto-Tune, firstMajorHitUsageYear, 1998]
-
A.
firstMajorHitYear
Indicates the year in which an entity (typically an artist, creator, or performer) achieved its first major hit or breakthrough success.
-
B.
firstMajorUseYear
chosen
Indicates the calendar year in which something was first put into major or primary use.
-
C.
firstMajorRunYear
Indicates the year in which something (such as an event, production, or operation) first began its major or primary run.
-
D.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
E.
firstMajorRallyYear
Indicates the calendar year in which an entity held its first significant rally or major organized gathering.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.