Triple
T25309944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Americans in media |
E634580
|
entity |
| Predicate | facedBarrier |
P159100
|
FINISHED |
| Object | limited leading roles |
—
|
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: limited leading roles | Statement: [Asian Americans in media, facedBarrier, limited leading roles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facedBarrier Context triple: [Asian Americans in media, facedBarrier, limited leading roles]
-
A.
isBarrierTo
Indicates that one entity obstructs, prevents, or significantly hinders another entity from occurring, progressing, or being accessed.
-
B.
barrierBrokenIn
Indicates that a barrier or obstruction has been breached, removed, or overcome within a specified context, location, or situation.
-
C.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
-
D.
typicalBarrierType
Indicates the usual or characteristic type of barrier associated with or used in a given context or situation.
-
E.
frontLineReached
Indicates that an entity has arrived at or crossed into the designated front line or primary boundary of engagement.
- F. None of above. chosen
Provenance (4 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_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:25 p.m.