Triple
T18584297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tengen Toppa Gurren Lagann |
E454197
|
entity |
| Predicate | hasMecha |
P85650
|
FINISHED |
| Object | Gurren |
—
|
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: Gurren | Statement: [Tengen Toppa Gurren Lagann, hasMecha, Gurren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gurren Context triple: [Tengen Toppa Gurren Lagann, hasMecha, Gurren]
-
A.
Gurren
chosen
Gurren is a powerful red Gunmen mecha piloted by Kamina in the anime series Tengen Toppa Gurren Lagann, later combining with Lagann to form the titular Gurren Lagann.
-
B.
Gurakuqi
Gurakuqi is an Albanian surname most notably borne by Luigj Gurakuqi, a prominent figure in Albania’s national awakening and early statehood.
-
C.
Gunjur
Gunjur is a rapidly developing suburban locality in the eastern part of Bengaluru, Karnataka, known for its residential layouts and proximity to IT hubs.
-
D.
Gararu
Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
-
E.
Gunnm
Gunnm is a cyberpunk manga series by Yukito Kishiro that follows a powerful amnesiac cyborg warrior navigating a dystopian future world of brutal combat and social inequality.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d200dc8190b8797d731f4e4865 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:44 a.m.