Triple
T13791478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Steve Harvey Morning Show |
E331407
|
entity |
| Predicate | hasSegment |
P3574
|
FINISHED |
| Object |
Ask Steve
Ask Steve is a popular advice and Q&A segment where Steve Harvey humorously responds to listeners’ personal questions and dilemmas.
|
E1061192
|
NE FINISHED |
How this triple was built (4 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: Ask Steve | Statement: [The Steve Harvey Morning Show, hasSegment, Ask Steve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ask Steve Context triple: [The Steve Harvey Morning Show, hasSegment, Ask Steve]
-
A.
Steve
Steve is a central white homeowner character in the play "Clybourne Park," often embodying the tensions and awkward defenses of privilege in the story’s exploration of race and gentrification.
-
B.
Steve
Steve is a masculine given name commonly used in English-speaking countries, often as a short form of Stephen or Steven.
-
C.
Steve
Steve is the central protagonist of the adventure story "High Seas," around whom the main events and conflicts of the narrative revolve.
-
D.
Steve
Steve is the familiar given name of Stephen Gary Wozniak, the pioneering American computer engineer and co-founder of Apple Inc.
-
E.
Steve
Steve is a character best known as the calculating antagonist and betrayer in the heist film "The Italian Job."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Ask Steve Triple: [The Steve Harvey Morning Show, hasSegment, Ask Steve]
Generated description
Ask Steve is a popular advice and Q&A segment where Steve Harvey humorously responds to listeners’ personal questions and dilemmas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ask Steve Target entity description: Ask Steve is a popular advice and Q&A segment where Steve Harvey humorously responds to listeners’ personal questions and dilemmas.
-
A.
Steve
Steve is the familiar given name of Stephen Gary Wozniak, the pioneering American computer engineer and co-founder of Apple Inc.
-
B.
Steve
Steve is a central white homeowner character in the play "Clybourne Park," often embodying the tensions and awkward defenses of privilege in the story’s exploration of race and gentrification.
-
C.
Steve
Steve is the commonly used nickname for Stephen Case, an American entrepreneur best known as the co-founder and former CEO of AOL.
-
D.
Steve
Steve is a masculine given name commonly used in English-speaking countries, often as a short form of Stephen or Steven.
-
E.
Steve
Steve is a character best known as the calculating antagonist and betrayer in the heist film "The Italian Job."
- F. None of above. chosen
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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0817bd88190a46e539f2ff24d83 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b20f67048190a641527353e3ff43 |
completed | May 3, 2026, 8:37 p.m. |
Created at: April 9, 2026, 10:11 p.m.