Triple
T37827417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucker Swanson McNear Carlson |
E943100
|
entity |
| Predicate | presented |
P83
|
FINISHED |
| Object |
Tucker Carlson Today
Tucker Carlson Today is a long-form interview and commentary show hosted by conservative political commentator Tucker Carlson, originally produced for the Fox Nation streaming service.
|
E2248306
|
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: Tucker Carlson Today | Statement: [Tucker Swanson McNear Carlson, presented, Tucker Carlson Today]
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: Tucker Carlson Today Triple: [Tucker Swanson McNear Carlson, presented, Tucker Carlson Today]
Generated description
Tucker Carlson Today is a long-form interview and commentary show hosted by conservative political commentator Tucker Carlson, originally produced for the Fox Nation streaming service.
Provenance (5 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb1c9e5908190bdadb7aac9745c94 |
completed | May 6, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a410cb41a4c81908dbbb8f8ed467c0a |
completed | June 28, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_6a410d70ba0c8190bdcab9e762c92884 |
completed | June 28, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a410e3dd828819099fc3a413bcfbeb9 |
completed | June 28, 2026, 12:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.