Triple
T12925174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain (United States Navy) |
E309224
|
entity |
| Predicate | wearsOnCollar |
P271
|
FINISHED |
| Object | silver eagle rank device |
—
|
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: silver eagle rank device | Statement: [Captain (United States Navy), wearsOnCollar, silver eagle rank device]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearsOnCollar Context triple: [Captain (United States Navy), wearsOnCollar, silver eagle rank device]
-
A.
collarFeature
Indicates that one entity has a specific characteristic, detail, or attribute related to a collar.
-
B.
supporterCollar
Indicates that one entity serves as a collar-like structural element that supports or stabilizes another entity.
-
C.
neckCharacteristic
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
-
D.
wears
chosen
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
E.
hasBarkColor
Indicates the color or colors of an entity’s bark.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.