Triple
T22020621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J-Squad |
E543834
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Takeda |
—
|
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: Takeda | Statement: [J-Squad, hasMember, Takeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takeda Context triple: [J-Squad, hasMember, Takeda]
-
A.
Takeda
Takeda is a mysterious and disciplined mentor figure from the TV series "Revenge," known for training Emily Thorne in combat and strategic vengeance.
-
B.
Takeda
chosen
Takeda is a member of the elite armored combat unit known as J-Squad in the science fiction film "Edge of Tomorrow."
-
C.
Takeda
Takeda is a prominent Japanese samurai clan best known for its powerful warlord Takeda Shingen during the Sengoku period.
-
D.
Shinchōsha
Shinchōsha is a Japanese publishing company known for producing literary fiction, non-fiction, and cultural works, including prominent modern Japanese authors.
-
E.
Toyosato
Toyosato is a former municipality in Japan that historically existed before being succeeded administratively by the city of Tsukuba.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.