Triple
T9913499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portnoy's Complaint (film) |
E185804
|
entity |
| Predicate | sourceWorkNationality |
P91127
|
FINISHED |
| Object | American literature |
—
|
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 literature | Statement: [Portnoy's Complaint (film), sourceWorkNationality, American literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceWorkNationality Context triple: [Portnoy's Complaint (film), sourceWorkNationality, American literature]
-
A.
workSubjectNationality
Indicates that the subject of a work has a specified nationality.
-
B.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
C.
creatorCountryOfCitizenship
Indicates the country in which the creator holds or held legal citizenship.
-
D.
creatorNationality
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
E.
originalNationality
Indicates the country or nationality an entity initially belonged to or originated from, before any later changes in citizenship or affiliation.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:41 p.m.