Triple
T16731355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Nara |
E406598
|
entity |
| Predicate | fallFromFavor |
P116312
|
FINISHED |
| Object | occurred late in Qianlong’s reign |
—
|
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: occurred late in Qianlong’s reign | Statement: [Empress Nara, fallFromFavor, occurred late in Qianlong’s reign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fallFromFavor Context triple: [Empress Nara, fallFromFavor, occurred late in Qianlong’s reign]
-
A.
fellFromFavorUnder
chosen
Indicates that an entity lost approval, status, or support while another specified party was in power or in a position of authority.
-
B.
fell
Indicates that an entity moved downward from a higher position to a lower one, typically due to gravity, often unintentionally or uncontrollably.
-
C.
fallsFrom
Indicates that one entity moves downward or drops starting from the location or position of another entity.
-
D.
fellWith
Indicates that one entity fell at the same time as, or in conjunction with, another entity.
-
E.
fallStatus
Indicates the condition or outcome of a fall event affecting an entity.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.