Triple
T11673002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linji Yixuan |
E277424
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Rinzai Gigen |
E281956
|
NE 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: Rinzai Gigen | Statement: [Linji Yixuan, alsoKnownAs, Rinzai Gigen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rinzai Gigen Context triple: [Linji Yixuan, alsoKnownAs, Rinzai Gigen]
-
A.
Heiga Zen
Heiga Zen is a researcher in speech synthesis and machine learning, known for helping develop Google's WaveNet neural network for generating raw audio.
-
B.
Zentsuji
Zentsuji is a historic city in Japan known as the birthplace of the Buddhist monk Kūkai and home to the famous Zentsū-ji Temple, one of the 88 temples on the Shikoku Pilgrimage.
-
C.
Rinzai
chosen
Rinzai is a major school of Zen Buddhism known for its emphasis on sudden enlightenment, rigorous meditation practice, and the use of kōans as a teaching tool.
-
D.
Gyōki
Gyōki was an influential Japanese Buddhist monk of the Nara period known for his public works, social welfare activities, and role in promoting Buddhism among the common people.
-
E.
Chōkai
Chōkai was a Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in World War II, including major Pacific naval battles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13e1b3d8819085ea806280ed69d3 |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:40 p.m.