Triple
T31655624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bays & Thomas Productions |
E807850
|
entity |
| Predicate | producedSeriesForNetwork |
P145202
|
FINISHED |
| Object |
CBS
CBS is a major American broadcast television network known for its 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: [Bays & Thomas Productions, producedSeriesForNetwork, 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: [Bays & Thomas Productions, producedSeriesForNetwork, CBS]
Generated description
CBS is a major American broadcast television network known for its wide range of popular news, sports, and entertainment programming.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedSeriesForNetwork Context triple: [Bays & Thomas Productions, producedSeriesForNetwork, CBS]
-
A.
producedSeriesFor
chosen
Indicates that one entity created or was responsible for producing a series (such as a TV, web, or media series) for another entity.
-
B.
producedForNetwork
Indicates that something was created or produced specifically for distribution or use by a particular network.
-
C.
coCreatedSeriesForNetwork
Indicates that multiple creators jointly created a television or media series specifically for a particular network.
-
D.
televisionProducedBy
Indicates that a television program, series, or broadcast is created, financed, or overseen by a particular producer, production company, or organization.
-
E.
productionCompanyOfSeries
Indicates that a company is the producer or production company responsible for creating a particular series.
- F. None of above.
Provenance (6 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd82ed2a4c81908bd7797fbd2e3d08 |
completed | May 8, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b79ce89e881908899e507b9a88a43 |
completed | June 12, 2026, 3:15 a.m. |
| NEDg | Description generation | batch_6a2b7a517e8c819090df69ab80325863 |
completed | June 12, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b7b197efc8190ae82e4badb5745ac |
completed | June 12, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69fd814cc10481908e4f8123d35a5d0c |
completed | May 8, 2026, 6:23 a.m. |
Created at: April 30, 2026, 10:55 p.m.