Triple
T9763813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master Gunnery Sergeant |
E236732
|
entity |
| Predicate | introducedAsRank |
P47925
|
FINISHED |
| Object | World War II era (as a technical senior enlisted rank) |
—
|
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: World War II era (as a technical senior enlisted rank) | Statement: [Master Gunnery Sergeant, introducedAsRank, World War II era (as a technical senior enlisted rank)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsRank Context triple: [Master Gunnery Sergeant, introducedAsRank, World War II era (as a technical senior enlisted rank)]
-
A.
namedForRank
Indicates that something is named after a specific rank or title held by an entity.
-
B.
representsRank
Indicates that one entity serves as the rank, status, or hierarchical level assigned to another entity.
-
C.
promotedToRankBy
Indicates that an entity was elevated to a particular rank or position through the action or decision of another entity.
-
D.
isRank
chosen
Indicates that one entity serves as the rank, level, or hierarchical position associated with another entity.
-
E.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09ed54c8190a5879e14184cddf4 |
completed | April 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.