Triple
T31393441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Late Shift in NBC late-night lineup |
E800796
|
entity |
| Predicate | competingNetwork |
P1375
|
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: [The Late Shift in NBC late-night lineup, competingNetwork, 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: [The Late Shift in NBC late-night lineup, competingNetwork, 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: competingNetwork Context triple: [The Late Shift in NBC late-night lineup, competingNetwork, CBS]
-
A.
competingPlatform
Indicates that two platforms operate in the same market or domain and vie against each other to attract the same users, customers, or resources.
-
B.
competesWith
chosen
Indicates that two entities are in rivalry or opposition, each striving to outperform or gain advantage over the other in the same domain or objective.
-
C.
intendedNetwork
Indicates the network that an entity is planned, designed, or expected to connect to or operate within.
-
D.
isPartOfNetworkServing
Indicates that one entity functions as a component within, or is supported by, a particular network that provides services to it or through it.
-
E.
operatedInNetwork
Indicates that an entity carried out its activities or services within a specified network or system.
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b076ac71081909709d7b2a86b871a |
completed | June 11, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_6a2b0a3b1d488190879a6fc252c80ace |
completed | June 11, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b0a76a7388190b77fbeefb1b6b26e |
completed | June 11, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 29, 2026, 9:19 p.m.