Triple
T36347733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wasted Times |
E895110
|
entity |
| Predicate | featuresEventContext |
P204831
|
FINISHED |
| Object | Second Sino-Japanese War |
E457
|
NE 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: Second Sino-Japanese War | Statement: [The Wasted Times, featuresEventContext, Second Sino-Japanese War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEventContext Context triple: [The Wasted Times, featuresEventContext, Second Sino-Japanese War]
-
A.
featuresEvent
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
B.
eventContext
Indicates the situational or background circumstances (such as time, place, conditions, or surrounding events) within which a particular event occurs or is interpreted.
-
C.
featuresEventsFor
Indicates that something presents, highlights, or includes specific events as part of its content or offering.
-
D.
majorEventContext
Indicates that one event occurs in the context of, or is significantly shaped by, a larger major event or overarching situation.
-
E.
featuresPoolEvents
Indicates that something includes or offers events or activities that take place in or around a pool.
- F. None of above. chosen
Provenance (5 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39b42757248190be9f2c4209387733 |
completed | June 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:09 p.m.