Triple
T27868491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Einstein |
E704425
|
entity |
| Predicate | nicknameOfOwner |
P135852
|
FINISHED |
| Object | Doc Brown |
—
|
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: Doc Brown | Statement: [Einstein, nicknameOfOwner, Doc Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameOfOwner Context triple: [Einstein, nicknameOfOwner, Doc Brown]
-
A.
nicknameOfOwners
Indicates that a given nickname belongs to or is used for the owners of a particular entity.
-
B.
hasGivenNameOfOwner
Indicates that an entity is associated with the given (first) name of its owner.
-
C.
epithetOfOwner
chosen
Indicates that a descriptive epithet or nickname is associated with and refers specifically to the owner of an entity.
-
D.
ownerAbbreviation
Indicates that one entity is an abbreviated or shortened form of the name or designation of another entity that owns or is primarily associated with it.
-
E.
nicknameOfProduct
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:22 p.m.