Triple
T21843062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tang Wei as Wong Chia-chi |
E539301
|
entity |
| Predicate | targetSide |
P145530
|
FINISHED |
| Object | collaboratorWithJapanese |
—
|
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: collaboratorWithJapanese | Statement: [Tang Wei as Wong Chia-chi, targetSide, collaboratorWithJapanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetSide Context triple: [Tang Wei as Wong Chia-chi, targetSide, collaboratorWithJapanese]
-
A.
onSide
Indicates that one entity is positioned along or adjacent to the side of another entity.
-
B.
supportedSide
Indicates that one entity backed, favored, or provided assistance to a particular side or party in a conflict, dispute, or competition.
-
C.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
D.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
-
E.
focusesOnSide
Indicates that an action, attention, or analysis is directed specifically toward one particular side or aspect of something.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 6:55 p.m.