Triple
T30348572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurren Lagann (combined mecha) |
E771928
|
entity |
| Predicate | hasPilotSeatIn |
P3522
|
FINISHED |
| Object | Lagann head |
—
|
LITERAL FINISHED |
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: Lagann head | Statement: [Gurren Lagann (combined mecha), hasPilotSeatIn, Lagann head]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilotSeatIn Context triple: [Gurren Lagann (combined mecha), hasPilotSeatIn, Lagann head]
-
A.
hasSeat
chosen
Indicates that one entity possesses, provides, or includes a seat for another entity.
-
B.
hasEjectionSeat
Indicates that an object (typically a vehicle or cockpit) is equipped with an ejection seat that allows an occupant to be forcibly expelled for emergency escape.
-
C.
hasSeating
Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
-
D.
hasPrimarySeat
Indicates that one entity is designated as the main or principal seat, location, or position associated with another entity.
-
E.
hasSecondSeat
Indicates that an entity possesses or includes a secondary seat in addition to a primary one.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 7:56 p.m.