Triple
T12030424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actor |
E286388
|
entity |
| Predicate | typicalBroadcastOn |
P16457
|
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: [Academy Award for Best Actor, typicalBroadcastOn, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBroadcastOn Context triple: [Academy Award for Best Actor, typicalBroadcastOn, television]
-
A.
broadcastNetworkTypical
chosen
Indicates that a given broadcast network is the one typically or commonly associated with airing the specified content or program.
-
B.
typicalBroadcastPeriod
Indicates the usual or standard time interval during which something is broadcast or transmitted.
-
C.
typicalBroadcastFormat
Indicates the usual or standard broadcast format in which something (such as a program or content) is typically transmitted.
-
D.
broadcastStandard
Indicates that one entity uses, supports, or is associated with a particular broadcast transmission standard (such as a TV or radio broadcasting format).
-
E.
broadcastsIn
Indicates that one entity transmits or airs content within a particular medium, channel, location, or time frame.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.