Triple
T1629470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantonese opera |
E35223
|
entity |
| Predicate | hasPerformanceConvention |
P30381
|
FINISHED |
| Object | symbolic staging |
—
|
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: symbolic staging | Statement: [Cantonese opera, hasPerformanceConvention, symbolic staging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformanceConvention Context triple: [Cantonese opera, hasPerformanceConvention, symbolic staging]
-
A.
performedWith
Indicates that an action or activity is carried out using, accompanied by, or in conjunction with a specified entity or instrument.
-
B.
hasNotablePerformanceIn
Indicates that an entity delivered a significant or distinguished performance within a specified work, event, or context.
-
C.
hasPhotographicConvention
Indicates that there is an established photographic style, rule, or convention governing how the related entities are visually represented in photographs.
-
D.
hasSignConvention
Indicates that a particular system, quantity, or representation follows a specified rule for assigning positive and negative signs.
-
E.
conventionSigned
Indicates that an entity has formally agreed to and signed a specific convention or treaty.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9431af5ac8190893133f1ae490142 |
completed | March 5, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69a907c91c888190b6ed295c1a2e0977 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a94319becc819089c2daf45fe08a0c |
completed | March 5, 2026, 8:47 a.m. |
Created at: March 4, 2026, 7:28 p.m.