Triple
T9751999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. Lee Ermey |
E236462
|
entity |
| Predicate | honoraryRank |
P34642
|
FINISHED |
| Object | Gunnery 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: Gunnery Sergeant | Statement: [R. Lee Ermey, honoraryRank, Gunnery Sergeant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoraryRank Context triple: [R. Lee Ermey, honoraryRank, Gunnery Sergeant]
-
A.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
B.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
C.
honoursPosition
chosen
Indicates that one entity holds or is recognized with an honorary or distinguished position in relation to another entity.
-
D.
rankInLegionOfHonour
Indicates the specific level or grade a person holds within the hierarchy of the Legion of Honour distinction.
-
E.
honourType
Indicates the specific category or classification of an honour or award associated with an entity.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:24 p.m.