Triple
T37736778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshu’s Mu |
E940297
|
entity |
| Predicate | canonicalAnswer |
P146299
|
FINISHED |
| Object | Mu |
—
|
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: Mu | Statement: [Joshu’s Mu, canonicalAnswer, Mu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalAnswer Context triple: [Joshu’s Mu, canonicalAnswer, Mu]
-
A.
answeredBy
Indicates that a question, request, or problem is responded to or resolved by a particular entity.
-
B.
typicalAnswerType
chosen
Indicates the usual or expected kind of entity or value that serves as an answer to a given question or query.
-
C.
answerGiven
Indicates that a response or solution has been provided to a question, request, or problem.
-
D.
canonicalFor
Indicates that one entity serves as the authoritative or standard representation for another, often consolidating or standing in for its variants or duplicates.
-
E.
canAnswerQuestionsIn
Indicates that an entity has the ability to answer questions within a specified context, domain, or environment.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.