Triple
T26731148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valarie Pettiford: Hear My Soul |
E673976
|
entity |
| Predicate | showcases |
P4908
|
FINISHED |
| Object | Valarie Pettiford’s acting background |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: Valarie Pettiford’s acting background | Statement: [Valarie Pettiford: Hear My Soul, showcases, Valarie Pettiford’s acting background]
Provenance (2 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61841b5bc8190a3048c5cca7849a7 |
completed | May 2, 2026, 3:29 p.m. |
Created at: April 27, 2026, 3:45 a.m.