Triple
T7867357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lu Muzhen |
E182650
|
entity |
| Predicate | marriageStartWithSunYatSen |
P79447
|
FINISHED |
| Object | 1885 |
—
|
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: 1885 | Statement: [Lu Muzhen, marriageStartWithSunYatSen, 1885]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithSunYatSen Context triple: [Lu Muzhen, marriageStartWithSunYatSen, 1885]
-
A.
endTimeOfMarriageWithMaoZedong
Indicates the date and time at which a person’s marriage to Mao Zedong ended.
-
B.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
C.
predecessorInMaoMarriageOrder
Indicates that one person is immediately earlier than another in the ordered sequence of spouses within a Mao-style marriage arrangement.
-
D.
marriageAllianceWith
Indicates a formal marital union established between two parties to create or strengthen a political, social, or strategic alliance.
-
E.
marriageSequenceToHussein
Indicates that an entity enters into a marriage with Hussein at a specific point or order within a sequence of marriages.
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb38464274819080f182b53783fa84 |
completed | March 31, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:55 p.m.