Triple
T18731665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Know This Much Is True (TV series) |
E458047
|
entity |
| Predicate | portraysMentalIllness |
P101225
|
FINISHED |
| Object | schizophrenia |
—
|
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: schizophrenia | Statement: [I Know This Much Is True (TV series), portraysMentalIllness, schizophrenia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysMentalIllness Context triple: [I Know This Much Is True (TV series), portraysMentalIllness, schizophrenia]
-
A.
portraysCharacterWithDisability
chosen
Indicates that an entity depicts or represents a character who has a disability.
-
B.
portraysFictionalized
Indicates that one entity represents or depicts another entity in a fictionalized or altered manner, rather than as a strictly accurate portrayal.
-
C.
portraysSocialIssue
Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
-
D.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
E.
hasPsychologicalCondition
Indicates that an entity experiences or is diagnosed with a particular psychological or mental health condition.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7854748190b66c4aaadfd67f29 |
completed | April 20, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:51 a.m.