Triple
T35389319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 10 Most Fascinating People |
E1022881
|
entity |
| Predicate | typicalBroadcastArea |
P2441
|
FINISHED |
| Object | United States |
E14
|
NE 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 | Statement: [The 10 Most Fascinating People, typicalBroadcastArea, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBroadcastArea Context triple: [The 10 Most Fascinating People, typicalBroadcastArea, United States]
-
A.
broadcastNetworkTypical
Indicates that a given broadcast network is the one typically or commonly associated with airing the specified content or program.
-
B.
broadcastRegion
chosen
Indicates the geographic area or market in which content is transmitted or made available for broadcast.
-
C.
broadcastSector
Indicates that an entity is associated with, operates in, or targets a particular broadcast sector or segment of the broadcasting domain.
-
D.
typicalBroadcastPeriod
Indicates the usual or standard time interval during which something is broadcast or transmitted.
-
E.
typicalBroadcastFormat
Indicates the usual or standard broadcast format in which something (such as a program or content) is typically transmitted.
- F. None of above.
Provenance (4 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a382ca14a9c8190989e0c7ca38d7d96 |
completed | June 21, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.