Triple
T33286920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best Years |
E852203
|
entity |
| Predicate | originalChannelInUnitedStates |
P44876
|
FINISHED |
| Object | The N |
E1667176
|
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: The N | Statement: [The Best Years, originalChannelInUnitedStates, The N]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalChannelInUnitedStates Context triple: [The Best Years, originalChannelInUnitedStates, The N]
-
A.
originalChannelInUS
chosen
Indicates that the entity was originally broadcast or distributed on a specific television or media channel in the United States.
-
B.
originalChannel
Indicates the communication channel or medium through which something was first created, sent, or published.
-
C.
originalChannelCanada
Indicates that a television program, series, or media content was originally broadcast or first aired on a Canadian TV channel.
-
D.
isInUnitedStates
Indicates that one entity is located within the geographic or political boundaries of the United States.
-
E.
laterChannelRegion
Indicates that one channel region occurs or is positioned later in sequence or time relative to another channel region.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a0309a4e4d481908a6070b40d507aae |
completed | May 12, 2026, 11:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3543179a0c8190afb3b34927c14bb9 |
completed | June 19, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_6a03091ac1008190bf50357364d4e9e4 |
completed | May 12, 2026, 11:03 a.m. |
Created at: May 1, 2026, 1:32 a.m.