Triple
T27880022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobodies |
E705060
|
entity |
| Predicate | isOriginalProgrammingFor |
P93607
|
FINISHED |
| Object | TV Land |
—
|
NE NERFINISHED |
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: TV Land | Statement: [Nobodies, isOriginalProgrammingFor, TV Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOriginalProgrammingFor Context triple: [Nobodies, isOriginalProgrammingFor, TV Land]
-
A.
hasOriginalProgrammingType
Indicates that an entity has a specific type or category of original programming associated with it.
-
B.
hasOriginalProgrammingBrand
Indicates that an entity is associated with or produced under a particular original programming brand or label.
-
C.
offersOriginalProgramming
Indicates that one entity provides or makes available its own uniquely created programming content to another entity.
-
D.
originalProgrammingFor
Indicates that one entity is the initial or primary creator or producer of programming content for another entity.
-
E.
hasOriginalBroadcastStation
chosen
Indicates the broadcasting station or network on which a program or content was first originally aired.
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63981aadc819093720bbf6d7f035c |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6318be69481909d1bcf29b7b60eb2 |
completed | May 2, 2026, 5:17 p.m. |
Created at: April 27, 2026, 6:29 p.m.