Triple
T35048496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Velvet |
E1011267
|
entity |
| Predicate | nicknameForPosition |
P36689
|
FINISHED |
| Object | shooting guard |
—
|
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: shooting guard | Statement: [Red Velvet, nicknameForPosition, shooting guard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameForPosition Context triple: [Red Velvet, nicknameForPosition, shooting guard]
-
A.
nicknameForRole
chosen
Indicates that one entity is an informal or alternative name commonly used to refer to a particular role or position represented by another entity.
-
B.
pairedNickname
Indicates that two entities share or are associated with a complementary or matching set of nicknames.
-
C.
stageNickname
Indicates that one entity is the stage name or performance nickname used by another entity.
-
D.
nicknameCoinedIn
Indicates that a particular nickname was first created, introduced, or came into use in a specified time or context.
-
E.
leadCharacterNickname
Indicates that one entity is the nickname commonly used for the lead (main) character of another 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.