Triple
T21105072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Keller |
E520016
|
entity |
| Predicate | primaryTalent |
P13525
|
FINISHED |
| Object | singing |
—
|
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: singing | Statement: [Chris Keller, primaryTalent, singing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTalent Context triple: [Chris Keller, primaryTalent, singing]
-
A.
primaryCapability
chosen
Indicates that one entity serves as the main or most important functional ability, role, or competence of another entity.
-
B.
primaryPower
Indicates that one entity serves as the main or dominant source of power or energy for another entity.
-
C.
primaryCharacteristics
Indicates the main defining traits or features that most fundamentally characterize an entity.
-
D.
primaryEffect
Indicates the main direct outcome or consequence that results from a given cause, action, or condition.
-
E.
primaryTone
Indicates the main or dominant emotional or stylistic quality characterizing something, in contrast to any secondary or supporting tones.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b6150f08190a3738f1eda7fa834 |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:53 p.m.