Triple
T24487148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyring |
E617540
|
entity |
| Predicate | countryAssociatedWithNotableBearers |
P130078
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Eyring, countryAssociatedWithNotableBearers, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryAssociatedWithNotableBearers Context triple: [Eyring, countryAssociatedWithNotableBearers, United States]
-
A.
associatedWithNotableBearerNationality
Indicates that an entity is connected to the nationality of a notable bearer of a related name or title.
-
B.
associatedCountryViaNotableBearer
chosen
Indicates a relationship where an entity is linked to a country through a notable person who bears or represents that entity (such as a name, title, or work).
-
C.
notableBearerNationality
Indicates that the subject has a notable bearer whose nationality is the specified object.
-
D.
notableHolderCountry
Indicates that a country is recognized as a significant or notable holder of a particular item, title, record, or distinction.
-
E.
notableCountry
Indicates that a country holds particular significance or prominence in relation to the subject entity.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.