Triple
T27141553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guide to Standard American English |
E681827
|
entity |
| Predicate | focusesOnVariant |
P174676
|
FINISHED |
| Object | Standard American English |
E2045
|
NE 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: Standard American English | Statement: [Guide to Standard American English, focusesOnVariant, Standard American English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnVariant Context triple: [Guide to Standard American English, focusesOnVariant, Standard American English]
-
A.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
B.
followOnVariant
Indicates that one entity is a subsequent or derived variant that follows from another entity in a sequence or evolution.
-
C.
focusesBy
Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of it.
-
D.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
E.
focusesOnSide
Indicates that an action, attention, or analysis is directed specifically toward one particular side or aspect of something.
- F. None of above. chosen
Provenance (5 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6c5b7e46081909975b05f7298cc0e |
completed | May 3, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12537b31048190a4c8ee6c788f5a72 |
completed | May 24, 2026, 1:25 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c49069e48190a3486b6254a6645b |
completed | May 3, 2026, 3:44 a.m. |
Created at: April 27, 2026, 9:09 a.m.