Triple
T32363849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grown Woman |
E826935
|
entity |
| Predicate | featuredInAdvertisingFor |
P997
|
FINISHED |
| Object | Pepsi |
—
|
NE NERFINISHED |
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: Pepsi | Statement: [Grown Woman, featuredInAdvertisingFor, Pepsi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInAdvertisingFor Context triple: [Grown Woman, featuredInAdvertisingFor, Pepsi]
-
A.
featuredIn
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
-
B.
featuredOn
chosen
Indicates that one entity is prominently presented, highlighted, or showcased on or within another entity (such as a platform, publication, or product).
-
C.
sponsoredIn
Indicates that one entity provides financial or material support for another entity’s participation, presence, or activity within a particular context, event, or medium.
-
D.
featuredFor
Indicates that one entity is highlighted, promoted, or specially showcased in the context or for the benefit of another entity.
-
E.
alsoFeatured
Indicates that an entity appears in addition to another primary entity within the same context, work, or presentation.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00d15f7b788190a3bf440be7837192 |
completed | May 10, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_6a00d0f8ef548190b1c15b06164eec4a |
completed | May 10, 2026, 6:39 p.m. |
Created at: May 1, 2026, 12:50 a.m.