Triple
T25958492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Times universe |
E645467
|
entity |
| Predicate | hasNetworkOfOrigin |
P176263
|
FINISHED |
| Object |
CBS
CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming.
|
E6070
|
NE FINISHED |
How this triple was built (3 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: CBS | Statement: [Good Times universe, hasNetworkOfOrigin, CBS]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CBS Triple: [Good Times universe, hasNetworkOfOrigin, CBS]
Generated description
CBS is a major American broadcast television network known for airing a wide range of popular news, sports, and entertainment programming.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetworkOfOrigin Context triple: [Good Times universe, hasNetworkOfOrigin, CBS]
-
A.
isNetworkOf
Indicates that one entity functions as a network that connects, supports, or encompasses another entity or set of entities.
-
B.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
C.
hasNetworkPartner
Indicates that an entity is connected to another entity through a formal or recognized network partnership relationship.
-
D.
originatesAs
Indicates that one entity begins, arises, or comes into existence in the form, state, or role specified by another entity.
-
E.
hasNetworkUS
Indicates that an entity possesses, operates, or is associated with a network located in or serving the United States.
- F. None of above. chosen
Provenance (7 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a111b03b9b0819084b5ca64dedb4e36 |
completed | May 23, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_6a111c0a65f881908a29d01412627de9 |
completed | May 23, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a111ca03b088190937f673d972fdca2 |
completed | May 23, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 22, 2026, 8:47 a.m.