Triple
T3641508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanli Emperor |
E77196
|
entity |
| Predicate | laterPolicy |
P49972
|
FINISHED |
| Object | refusal to attend court for years |
—
|
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: refusal to attend court for years | Statement: [Wanli Emperor, laterPolicy, refusal to attend court for years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterPolicy Context triple: [Wanli Emperor, laterPolicy, refusal to attend court for years]
-
A.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
B.
advancedPolicyOf
Indicates that one policy is a more developed, detailed, or progressive version of another policy.
-
C.
laterModification
Indicates that one entity is a modification or revision that occurs after another in time.
-
D.
laterUnderRuleOf
Indicates that one entity came to be governed or ruled by another entity at a later point in time.
-
E.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc359a91481908aef1c022f45e55c |
completed | March 8, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:24 p.m.