Triple
T3846621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa Agretti |
E93584
|
entity |
| Predicate | appearsInCountryBroadcast |
P19217
|
FINISHED |
| Object | United States 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: United States television | Statement: [Melissa Agretti, appearsInCountryBroadcast, United States television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInCountryBroadcast Context triple: [Melissa Agretti, appearsInCountryBroadcast, United States television]
-
A.
countryOfBroadcast
Indicates the country from which a broadcast is transmitted or officially originates.
-
B.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
C.
broadcasterCountry
Indicates the country from which a broadcaster operates or holds its primary broadcasting license.
-
D.
hasBroadcastCoverageIn
chosen
Indicates that a broadcast (such as a TV or radio program, channel, or signal) is available or transmitted within a specified geographic area or region.
-
E.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebcb069881909d3536b18b7802a7 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.