Triple
T22689319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lie Yukou |
E561005
|
entity |
| Predicate | themeInAttributedWork |
P94402
|
FINISHED |
| Object | spontaneity (ziran) |
—
|
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: spontaneity (ziran) | Statement: [Lie Yukou, themeInAttributedWork, spontaneity (ziran)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeInAttributedWork Context triple: [Lie Yukou, themeInAttributedWork, spontaneity (ziran)]
-
A.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
B.
associatedWithAuthorTheme
chosen
Indicates a relationship where an author is linked to, or characterized by, a particular theme in their work or thought.
-
C.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
D.
themeInArc
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
-
E.
subtitleOfWorkAuthor
Indicates that a person is the author of the subtitle text associated with a particular work.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789931148190925ce9038c16413b |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.