Triple
T21955756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Ernest G. Bilko |
E542181
|
entity |
| Predicate | fictionalMilitaryRank |
P52914
|
FINISHED |
| Object | Master Sergeant |
—
|
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: Master Sergeant | Statement: [Sergeant Ernest G. Bilko, fictionalMilitaryRank, Master Sergeant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalMilitaryRank Context triple: [Sergeant Ernest G. Bilko, fictionalMilitaryRank, Master Sergeant]
-
A.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
B.
producedMilitaryRank
Indicates that one entity is responsible for conferring, generating, or resulting in the military rank held by another entity.
-
C.
isMilitaryRank
chosen
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
-
D.
namedForMilitaryRank
Indicates that one entity is named after or in honor of a specific military rank held by a person or associated with a military position.
-
E.
civilServiceRank
Indicates that one entity holds a specific rank or position within a civil service hierarchy relative to another entity or classification.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124404f38819080bae736a52a51cd |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:59 p.m.