Triple
T17887741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suicide Squad |
E447238
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Katana |
—
|
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: Katana | Statement: [Suicide Squad, notableMember, Katana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katana Context triple: [Suicide Squad, notableMember, Katana]
-
A.
Katana
chosen
Katana is a DC Comics superheroine and skilled Japanese swordswoman who wields a mystical soul-trapping blade and has been a member of teams such as the Outsiders and the Suicide Squad.
-
B.
Katana
Katana is a town and administrative division in Sri Lanka’s Western Province, situated within the Gampaha District.
-
C.
Katano
Katano is a city in Osaka Prefecture, Japan, known for its residential suburbs and proximity to the Osaka metropolitan area.
-
D.
Tsurugi
Tsurugi is a Japanese Shinkansen train service operating on the Hokuriku Shinkansen line, primarily providing all-stations shuttle connections between Toyama and Kanazawa.
-
E.
Banryū
Banryū was a Japanese warship that served in the late Edo period and took part in the Boshin War’s Naval Battle of Hakodate.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c14c4348190bb77712d9eae1d51 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.