Triple
T29203599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaozu |
E740347
|
entity |
| Predicate | honorificForHouse |
P174389
|
FINISHED |
| Object | Sima clan |
—
|
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: Sima clan | Statement: [Gaozu, honorificForHouse, Sima clan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificForHouse Context triple: [Gaozu, honorificForHouse, Sima clan]
-
A.
honorificNameOf
Indicates that one entity is the honorific or respectful name or title used to refer to another entity.
-
B.
honorificSense
Indicates that one entity refers to another using an honorific or respectful linguistic form.
-
C.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
D.
honorificNature
Indicates that the relationship involves the use or assignment of an honorific title or respectful form of address between entities.
-
E.
honorificPartOfName
Indicates that an honorific title or form of address is included as part of a person's full name.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 28, 2026, 12:08 p.m.