Triple
T718227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daytime Emmy Award for Outstanding Drama Series |
E14356
|
entity |
| Predicate | hasAwardCeremonyLocation |
P128
|
FINISHED |
| Object | various venues in the United States |
—
|
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: various venues in the United States | Statement: [Daytime Emmy Award for Outstanding Drama Series, hasAwardCeremonyLocation, various venues in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardCeremonyLocation Context triple: [Daytime Emmy Award for Outstanding Drama Series, hasAwardCeremonyLocation, various venues in the United States]
-
A.
ceremonyLocation
chosen
Indicates the place where a ceremony is held or takes place.
-
B.
awardCeremonyBroadcastOn
Indicates that an award ceremony event is broadcast or aired on a particular channel, platform, or medium.
-
C.
awardCeremonyOccasion
Indicates that an award ceremony is held on, or in connection with, a particular occasion or event.
-
D.
awardingCity
Indicates the city in which an award is formally given or conferred.
-
E.
ceremonyHeldOn
Indicates that a specific ceremony took place on a particular date or day.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f38898819089d79bad4f4ff2d2 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.