Triple
T4268868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wong |
E96890
|
entity |
| Predicate | scriptOfOrigin |
P55092
|
FINISHED |
| Object | Chinese characters |
—
|
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: Chinese characters | Statement: [Wong, scriptOfOrigin, Chinese characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOfOrigin Context triple: [Wong, scriptOfOrigin, Chinese characters]
-
A.
screenplayDevelopedFrom
Indicates that a screenplay was created or adapted based on a prior work, such as a story, script, or other source material.
-
B.
scriptDirection
Indicates the direction in which a writing system or script is read or written (e.g., left-to-right, right-to-left, top-to-bottom).
-
C.
script
Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
-
D.
scriptAdaptationFrom
Indicates that a script is adapted or derived from a pre-existing source work (such as a book, play, or earlier script).
-
E.
originallyWrittenFor
Indicates that a work was initially created or composed with a particular recipient, medium, context, or purpose in mind.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ff913608190b6ccf4a85057b07b |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e0606488190baadf469a1afc3c2 |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:07 p.m.