Triple
T30926019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ugly Americans |
E787856
|
entity |
| Predicate | mainCharacterWorksFor |
P180752
|
FINISHED |
| Object | Department of Integration |
—
|
NE NERFINISHED |
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: Department of Integration | Statement: [Ugly Americans, mainCharacterWorksFor, Department of Integration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterWorksFor Context triple: [Ugly Americans, mainCharacterWorksFor, Department of Integration]
-
A.
mainCharacterWorkplaceType
Indicates the type or kind of workplace where the main character is employed or primarily works.
-
B.
protagonistWorksFor
chosen
Indicates that the protagonist is employed by or under the authority of another entity (such as a person, organization, or group).
-
C.
workCharacter
Indicates that a person is a fictional or narrative character appearing in a particular creative work.
-
D.
workBasedOnThisCharacter
Indicates that a creative work is based on, inspired by, or derived from the referenced character.
-
E.
workAt
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: April 29, 2026, 8:51 p.m.