Triple
T37576320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Jim |
E934829
|
entity |
| Predicate | nationalityInPrank |
P196406
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Asian Jim, nationalityInPrank, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityInPrank Context triple: [Asian Jim, nationalityInPrank, American]
-
A.
nationalityInDisguise
Indicates that an entity’s true nationality is concealed or misrepresented, often by adopting or appearing to belong to a different nationality.
-
B.
nationalityOfRealIdentity
Indicates that a specified nationality is the real-world national affiliation of an entity’s true identity.
-
C.
nationalityInStory
Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
-
D.
nationalityInPlay
Indicates that, within the context of a play or performance, a character is portrayed as having a particular nationality.
-
E.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69fe30bb07d08190877539d5aa202d24 |
completed | May 8, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:17 p.m.