Triple
T15414325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady of Rage |
E369173
|
entity |
| Predicate | notableLabelEra |
P118702
|
FINISHED |
| Object | 1990s Death Row Records 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: 1990s Death Row Records era | Statement: [Lady of Rage, notableLabelEra, 1990s Death Row Records era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLabelEra Context triple: [Lady of Rage, notableLabelEra, 1990s Death Row Records era]
-
A.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
-
B.
notableEraNickname
Indicates the informal or popular nickname by which a particular historical era or period is commonly known.
-
C.
notableEraStart
Indicates the point in time when a notable or historically significant era associated with an entity begins.
-
D.
notableSeriesEra
Indicates the historical period or era during which a series is notably set, produced, or most prominently recognized.
-
E.
historicalEraOfNaming
Indicates the historical era or time period during which an entity received its name.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea7561481909b04e613e2352f82 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:20 a.m.