Triple
T2140908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian American literature |
E46756
|
entity |
| Predicate | gainedRecognitionIn |
P35855
|
FINISHED |
| Object | late 1960s |
—
|
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: late 1960s | Statement: [Asian American literature, gainedRecognitionIn, late 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gainedRecognitionIn Context triple: [Asian American literature, gainedRecognitionIn, late 1960s]
-
A.
haveInternationalRecognition
Indicates that an entity is formally acknowledged or accepted by the international community or by official bodies across multiple countries.
-
B.
fieldOfRecognition
Indicates the domain, discipline, or area in which an entity is formally acknowledged, honored, or recognized.
-
C.
grantsRecognitionTo
Indicates that one entity formally acknowledges, honors, or validates another entity’s achievements, status, or contributions.
-
D.
recognizesWorkOf
Indicates that one entity acknowledges, identifies, or gives credit to the work or contributions produced by another entity.
-
E.
notableReception
chosen
Indicates that something has received significant attention, recognition, or response from audiences, critics, or the public.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbf74147c81908793c3694894f94a |
completed | March 7, 2026, 6:02 a.m. |
| PD | Predicate disambiguation | batch_69abbd96a3b0819081efbfef975e1513 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.