Triple
T11832784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kujō family |
E281434
|
entity |
| Predicate | grantedTitleUnderKazoku |
P3622
|
FINISHED |
| Object | prince |
—
|
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: prince | Statement: [Kujō family, grantedTitleUnderKazoku, prince]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedTitleUnderKazoku Context triple: [Kujō family, grantedTitleUnderKazoku, prince]
-
A.
grantedSurnameBy
Indicates that one entity formally conferred or assigned a surname to another entity.
-
B.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
C.
confersTitle
chosen
Indicates that one entity grants or bestows an official title or designation upon another entity.
-
D.
titleHeldByFamily
Indicates that a particular title, rank, or honor is held collectively or traditionally by a specific family or family line.
-
E.
hasPatronalTitle
Indicates that an entity holds or is associated with a specific patronal or honorific title, typically reflecting patronage, protection, or dedication.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.