Triple
T1043409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The West Wing Theme |
E22519
|
entity |
| Predicate | associatedWithMedium |
P2830
|
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: [The West Wing Theme, associatedWithMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMedium Context triple: [The West Wing Theme, associatedWithMedium, television]
-
A.
hasAssociatedMedium
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
B.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
C.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
D.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
E.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8475ab48190848388eea6448cb6 |
completed | March 1, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.