Triple
T21747658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Budweiser (U.S. Navy SEAL insignia) |
E536828
|
entity |
| Predicate | wearerRankRange |
P145214
|
FINISHED |
| Object | enlisted personnel |
—
|
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: enlisted personnel | Statement: [Budweiser (U.S. Navy SEAL insignia), wearerRankRange, enlisted personnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearerRankRange Context triple: [Budweiser (U.S. Navy SEAL insignia), wearerRankRange, enlisted personnel]
-
A.
wearerRankCategory
Indicates the classification of the wearer's rank into a broader rank category (e.g., junior, senior, officer, etc.) within a ranking system.
-
B.
wearerType
Indicates the type or category of entity that is intended to wear or use the associated item.
-
C.
wearerMust
Indicates that a specified item or object is required to be worn by a particular entity under certain conditions or rules.
-
D.
wearerStatus
Indicates the condition or role of an entity in its capacity as a wearer of something (e.g., clothing, equipment, or an accessory).
-
E.
wearerEntitlement
Indicates that an entity has the right or authorization to wear a particular item (such as clothing, equipment, or an accessory).
- F. None of above. chosen
Provenance (4 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a77e19c81909bf26f96aa41a7ce |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:50 p.m.