Triple
T37754453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydia Rodarte-Quayle |
E941072
|
entity |
| Predicate | notableObjectUsed |
P126429
|
FINISHED |
| Object | Stevia sweetener |
—
|
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: Stevia sweetener | Statement: [Lydia Rodarte-Quayle, notableObjectUsed, Stevia sweetener]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableObjectUsed Context triple: [Lydia Rodarte-Quayle, notableObjectUsed, Stevia sweetener]
-
A.
notableObject
Indicates that an entity is especially significant, famous, or noteworthy as an object in a given context or domain.
-
B.
objectUsed
chosen
Indicates that one entity is used as a tool, instrument, or resource in performing an action involving another entity.
-
C.
notUsedOver
Indicates that one entity has not been used, applied, or utilized for a duration exceeding a specified time period relative to another entity or reference point.
-
D.
notUsedAt
Indicates that a particular entity is not utilized, applied, or active at a specified location, time, or context.
-
E.
notReusedFor
Indicates that something is not used again for a subsequent purpose, context, or instance.
- 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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.