Triple
T14696937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The American Father |
E345186
|
entity |
| Predicate | setWithinWorkContext |
P26453
|
FINISHED |
| Object | Chinese immigrant narrative in America |
—
|
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: Chinese immigrant narrative in America | Statement: [The American Father, setWithinWorkContext, Chinese immigrant narrative in America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setWithinWorkContext Context triple: [The American Father, setWithinWorkContext, Chinese immigrant narrative in America]
-
A.
hasWorkContext
chosen
Indicates that an entity is associated with a particular work-related situation, environment, or context in which it is relevant or applies.
-
B.
primaryWorkContext
Indicates the main environment, setting, or domain in which an entity typically performs its work or primary activities.
-
C.
setWorkIn
Indicates that an entity assigns or places a work, task, or project into a particular context, location, or setting.
-
D.
worksWithinSystem
Indicates that an entity performs its functions or activities while operating inside a specified system, framework, or organizational structure.
-
E.
workScope
Indicates the defined range, extent, and boundaries of tasks or responsibilities involved in a particular work activity or project.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.