Triple
T30476754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Master |
E775462
|
entity |
| Predicate | usedInDiscourseOn |
P165591
|
FINISHED |
| Object | Taoist philosophy |
—
|
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: Taoist philosophy | Statement: [Old Master, usedInDiscourseOn, Taoist philosophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInDiscourseOn Context triple: [Old Master, usedInDiscourseOn, Taoist philosophy]
-
A.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
B.
usedInPoliticalDiscourse
Indicates that something is employed as a term, concept, or reference within political discussion, debate, or rhetoric.
-
C.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
D.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
E.
topicOfDiscourse
chosen
Indicates that something serves as the subject or focus of a particular discussion, conversation, or communicative act.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 29, 2026, 8:12 p.m.