Triple
T17178122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiang Qing |
E416912
|
entity |
| Predicate | laterSentence |
P1691
|
FINISHED |
| Object | life imprisonment |
—
|
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: life imprisonment | Statement: [Jiang Qing, laterSentence, life imprisonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterSentence Context triple: [Jiang Qing, laterSentence, life imprisonment]
-
A.
laterTerm
Indicates that one term occurs after another term in a temporal or sequential order.
-
B.
laterExplained
Indicates that an earlier event, statement, or situation is clarified or made understandable by information provided at a subsequent time.
-
C.
laterIn
Indicates that one event, state, or time point occurs after another in temporal order.
-
D.
after
chosen
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
E.
laterWrittenDownIn
Indicates that information, events, or content were recorded or documented at a later time than when they originally occurred or were created.
- F. None of above.
Provenance (3 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.