Triple
T32130445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vin Makazian |
E820627
|
entity |
| Predicate | knowsFamily |
P173608
|
FINISHED |
| Object | Soprano family |
—
|
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: Soprano family | Statement: [Vin Makazian, knowsFamily, Soprano family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knowsFamily Context triple: [Vin Makazian, knowsFamily, Soprano family]
-
A.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
B.
ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
-
C.
familyGroup
Indicates that multiple entities are related to each other as members of the same family unit or household.
-
D.
isFromFamilyKnownFor
Indicates that an entity belongs to a family that is widely recognized or notable for a particular characteristic, achievement, or reputation.
-
E.
topFamily
Indicates that the subject entity belongs to the highest-ranking or primary family group within a given hierarchy or classification.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b96f3f108190a138524eb7e07fbf |
completed | May 3, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:29 a.m.