Triple
T1583107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Macon |
E34010
|
entity |
| Predicate | performingArtsMedium |
P1060
|
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: [Peter Macon, performingArtsMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performingArtsMedium Context triple: [Peter Macon, performingArtsMedium, television]
-
A.
artisticMedium
Indicates the material or technique used to create an artwork or artistic expression.
-
B.
theatre
Indicates that an entity is a theater or is associated with theatrical performances or activities.
-
C.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
D.
entertainmentType
chosen
Indicates the kind or category of entertainment associated with an entity or event.
-
E.
theater
Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:27 p.m.