Triple
T38135718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jōshū Jūshin |
E952344
|
entity |
| Predicate | roleInZen |
P204089
|
FINISHED |
| Object | subject of foundational kōans |
—
|
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: subject of foundational kōans | Statement: [Jōshū Jūshin, roleInZen, subject of foundational kōans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInZen Context triple: [Jōshū Jūshin, roleInZen, subject of foundational kōans]
-
A.
roleInGemini3
Indicates that an entity holds a specific role or function within the Gemini 3 mission or project.
-
B.
roleInGemini10
Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
-
C.
roleInName
Indicates that a specific role, title, or position is included as part of an entity’s name or naming expression.
-
D.
roleInGeminiProgram
Indicates that an entity held a specific role or position within NASA's Gemini space program.
-
E.
roleInPython
Indicates that an entity serves a specific function, position, or responsibility within the context of Python (such as a role in Python code, projects, or ecosystem).
- F. None of above. chosen
Provenance (4 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a031e24299c81908dcbbf1b88f43dfd |
completed | May 12, 2026, 12:33 p.m. |
| PD | Predicate disambiguation | batch_6a031ce232a48190b62bca3e94162f2f |
completed | May 12, 2026, 12:28 p.m. |
| PDg | Predicate description generation | batch_6a031e231290819086c8869c8039f1f8 |
completed | May 12, 2026, 12:33 p.m. |
Created at: May 3, 2026, 4:21 p.m.