Triple
T1894325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Devils |
E41942
|
entity |
| Predicate | typeOfNickname |
P1081
|
FINISHED |
| Object | military nickname |
—
|
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: military nickname | Statement: [Red Devils, typeOfNickname, military nickname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfNickname Context triple: [Red Devils, typeOfNickname, military nickname]
-
A.
isNickname
Indicates that one name is an informal or alternative name commonly used to refer to the same person or entity as another name.
-
B.
nameType
chosen
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
-
C.
representsNickname
Indicates that one entity serves as a nickname or informal alternative name for another entity.
-
D.
translationOfNickname
Indicates that one name is a translated form of another name that functions as a nickname.
-
E.
localNickname
Indicates that an entity is known by a particular nickname within a specific local or regional context.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1497df08190ad90dd89f76208ca |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.