Triple
T22382491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asano clan |
E553309
|
entity |
| Predicate | clanCrest |
P1663
|
FINISHED |
| Object | takanoha (hawk feather) mon |
—
|
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: takanoha (hawk feather) mon | Statement: [Asano clan, clanCrest, takanoha (hawk feather) mon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: takanoha (hawk feather) mon Context triple: [Asano clan, clanCrest, takanoha (hawk feather) mon]
-
A.
mon (Japanese crest)
chosen
The mon (Japanese crest) is a traditional heraldic emblem used in Japan to represent families, individuals, institutions, and organizations, often featuring stylized natural or geometric motifs.
-
B.
Takanot
Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
-
C.
Taikenmon-in
Taikenmon-in was a Japanese imperial consort and influential noblewoman of the late Heian period, best known as the mother of Emperor Go-Shirakawa.
-
D.
Tsubame
Tsubame is a city in Japan renowned for its high-quality metalworking and cutlery industries.
-
E.
Tsubame
Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582cce608190b5324b30f349a3ff |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.