Triple
T8765072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primetime Emmy Award for Outstanding Choreography |
E208319
|
entity |
| Predicate | eligibleMedium |
P25215
|
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: [Primetime Emmy Award for Outstanding Choreography, eligibleMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleMedium Context triple: [Primetime Emmy Award for Outstanding Choreography, eligibleMedium, television]
-
A.
eligibleMedia
chosen
Indicates that certain media items qualify under specified conditions or rules for participation, use, or consideration in a given context.
-
B.
targetMedium
Indicates the medium or channel through which an action, message, or effect is directed or intended to be delivered.
-
C.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
D.
representsMedium
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
-
E.
basedOnMedium
Indicates that one entity is derived from, adapted from, or created using another entity as its source medium or foundational material.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee850b88190a0294bcbe4045aa3 |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.