Triple
T25309945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Americans in media |
E634580
|
entity |
| Predicate | facedBarrier |
P159100
|
FINISHED |
| Object | accent discrimination |
—
|
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: accent discrimination | Statement: [Asian Americans in media, facedBarrier, accent discrimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facedBarrier Context triple: [Asian Americans in media, facedBarrier, accent discrimination]
-
A.
facedBarrier
chosen
Indicates that an entity encountered an obstacle, hindrance, or restriction that impeded its progress or actions.
-
B.
isBarrierTo
Indicates that one entity obstructs, prevents, or significantly hinders another entity from occurring, progressing, or being accessed.
-
C.
barrierAddressed
Indicates that an identified obstacle, hindrance, or constraint affecting an entity or process has been actively dealt with, mitigated, or removed.
-
D.
barrierBrokenIn
Indicates that a barrier or obstruction has been breached, removed, or overcome within a specified context, location, or situation.
-
E.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:25 p.m.