Triple
T23895461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judith Harper |
E600890
|
entity |
| Predicate | showDebutMedium |
P68558
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Judith Harper, showDebutMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showDebutMedium Context triple: [Judith Harper, showDebutMedium, television]
-
A.
debutFeatureOf
Indicates that one entity is the first major or initial feature (such as a debut work or appearance) associated with another entity.
-
B.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
-
C.
debutFormat
chosen
Indicates the medium or format (such as film, television, stage, etc.) in which an entity first made its debut.
-
D.
debutResult
Indicates the outcome or performance result associated with an entity’s first formal appearance or introduction (its debut).
-
E.
introducedInMedium
Indicates that an entity first appears or is initially presented within a specified medium (such as a book, film, game, or other format).
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdd9203081909b10820a81c5d9d3 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.