Triple
T27774262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Lü Zhi |
E699140
|
entity |
| Predicate | empressDowagerStart |
P121473
|
FINISHED |
| Object | 195 BC |
—
|
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: 195 BC | Statement: [Empress Lü Zhi, empressDowagerStart, 195 BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: empressDowagerStart Context triple: [Empress Lü Zhi, empressDowagerStart, 195 BC]
-
A.
reignAsEmpressDowagerStart
chosen
Indicates the time at which a person begins their tenure or authority as an empress dowager.
-
B.
reignAsEmpressDowagerDuring
Indicates that a person held and exercised the role and authority of an empress dowager during a specified time period or reign.
-
C.
eraAsEmpress
Indicates the time period during which a person held the role or status of empress.
-
D.
successorAsEmpressDowager
Indicates that one individual becomes the next holder of the title and role of Empress Dowager after another individual.
-
E.
predecessorAsPrimaryEmpressDowager
Indicates that one individual previously held the role of primary empress dowager immediately before another individual.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63798a67c8190876c47dacf89af6e |
completed | May 2, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:04 p.m.