Triple
T8158984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hernández |
E190524
|
entity |
| Predicate | accentlessFormCommonIn |
P7254
|
FINISHED |
| Object | English-speaking countries |
—
|
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: English-speaking countries | Statement: [Hernández, accentlessFormCommonIn, English-speaking countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accentlessFormCommonIn Context triple: [Hernández, accentlessFormCommonIn, English-speaking countries]
-
A.
accentedFormOf
Indicates that one linguistic form is an accented or diacritically marked variant of another, more basic form.
-
B.
commonIn
chosen
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
-
C.
usesNameForm
Indicates that one entity adopts or applies a particular standardized form or variant of a name associated with another entity.
-
D.
compositionalForm
Indicates the structural or formal composition that defines how parts are organized or combined within something.
-
E.
isCommonAsFirstName
Indicates that the referenced name is frequently used as a first (given) name within a specified population or context.
- 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_69ca82bfeb6481909d07b91b5cf69f59 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb455213f08190a4327a2116c7381f |
completed | March 31, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:38 p.m.