Triple
T28433756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Gan |
E715205
|
entity |
| Predicate | principalWifeOf |
P168623
|
FINISHED |
| Object | Guan Yu |
—
|
NE NERFINISHED |
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: Guan Yu | Statement: [Lady Gan, principalWifeOf, Guan Yu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: principalWifeOf Context triple: [Lady Gan, principalWifeOf, Guan Yu]
-
A.
firstWifeOf
Indicates that one person is the first woman to have been married to another person.
-
B.
spouseOfHead
Indicates that one person is the married partner of the individual who holds the position of head (e.g., head of a household, organization, or state).
-
C.
spouseOfHeadOfState
Indicates that one person is the spouse (married partner) of a head of state.
-
D.
spouseOfLeader
Indicates that one entity is the married partner (spouse) of another entity who holds a leadership position.
-
E.
firstHolderSpouseOf
Indicates that the first holder in the relation is the spouse (married partner) of the other holder.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 28, 2026, 1:41 a.m.