Triple
T24482933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwards Medal of the American Society for Quality |
E617427
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | ASQ Edwards Medal |
E1639015
|
NE 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: ASQ Edwards Medal | Statement: [Edwards Medal of the American Society for Quality, alsoKnownAs, ASQ Edwards Medal]
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_69e2d7f3ae788190b683394db15f220e |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29ed79ae481909263a3283a1b9391 |
completed | April 30, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff84bf77c819088cf7601e5ca7e1e |
completed | May 22, 2026, 6:31 a.m. |
Created at: April 18, 2026, 2:21 a.m.