Triple
T17911029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sailor Moon |
E447818
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Pretty Soldier Sailor Moon |
—
|
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: Pretty Soldier Sailor Moon | Statement: [Sailor Moon, alsoKnownAs, Pretty Soldier Sailor Moon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pretty Soldier Sailor Moon Context triple: [Sailor Moon, alsoKnownAs, Pretty Soldier Sailor Moon]
-
A.
Sailor Moon
chosen
Sailor Moon is a popular Japanese magical girl anime and manga series that follows schoolgirl Usagi Tsukino as she transforms into a superheroine to fight evil and protect the world with her fellow Sailor Guardians.
-
B.
Sailor King
Sailor King is the popular nickname of William IV of the United Kingdom, reflecting his long naval career before becoming king.
-
C.
Usagi Tsukino
Usagi Tsukino is the clumsy yet kind-hearted teenage girl who transforms into the magical warrior Sailor Moon to protect the world from evil.
-
D.
Utena
Utena is a town in northeastern Lithuania that serves as an important regional center in the historical region of Aukštaitija.
-
E.
Lucky Star
"Lucky Star" is a 1983 dance-pop song by Madonna that became one of her early hits and helped establish her as a major pop icon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.