Triple
T8430182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiki Dee |
E199096
|
entity |
| Predicate | wasOneOfTheFirst |
P58759
|
FINISHED |
| Object | British female artists signed to Motown |
—
|
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: British female artists signed to Motown | Statement: [Kiki Dee, wasOneOfTheFirst, British female artists signed to Motown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOneOfTheFirst Context triple: [Kiki Dee, wasOneOfTheFirst, British female artists signed to Motown]
-
A.
saidToBeTheFirst
Indicates that one entity is claimed or regarded as being the earliest or original instance of something relative to others.
-
B.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
-
C.
firstUsedBy
Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
-
D.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
E.
oneOfTheOldestOn
chosen
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
- 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_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe30fba4081908bfdef3faf5baceb |
completed | March 31, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69cbd0ec200c8190b0299e2b0b4bdcc2 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:07 p.m.