Triple
T36309711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do 17 family |
E894034
|
entity |
| Predicate | nicknamedInEnglish |
P149399
|
FINISHED |
| Object | Flying Pencil |
—
|
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: Flying Pencil | Statement: [Do 17 family, nicknamedInEnglish, Flying Pencil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknamedInEnglish Context triple: [Do 17 family, nicknamedInEnglish, Flying Pencil]
-
A.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
-
B.
hasNicknames
chosen
Indicates that an entity is known or referred to by one or more alternative informal names.
-
C.
nicknamedByJapanese
Indicates that an entity is known or referred to by a particular nickname given by Japanese people or in a Japanese context.
-
D.
nicknamedByAllies
Indicates that an entity is referred to by a particular nickname specifically given or used by its allies.
-
E.
colloquialNameOf
Indicates that one entity is an informal, colloquial, or commonly used name referring to 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.