Triple
T35209454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIN WNT |
E1016632
|
entity |
| Predicate | nicknameTranslation |
P16980
|
FINISHED |
| Object | Lady Lions |
—
|
NE NERFINISHED |
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: Lady Lions | Statement: [FIN WNT, nicknameTranslation, Lady Lions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameTranslation Context triple: [FIN WNT, nicknameTranslation, Lady Lions]
-
A.
nicknameExplained
Indicates that an entity’s nickname is clarified, justified, or given context by another piece of information.
-
B.
translationOfNickname
chosen
Indicates that one name is a translated form of another name that functions as a nickname.
-
C.
nickNameMeaning
Indicates that a nickname is associated with a particular meaning, interpretation, or significance.
-
D.
nicknameSpellingNote
Indicates that there is a note or clarification about how a nickname is spelled in relation to a given name or entity.
-
E.
nicknameCategory
Indicates that one entity is a nickname and the other entity is the category or type that this nickname belongs to.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:02 p.m.