Triple
T17790249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Bream |
E444138
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sheldon Bream
Sheldon Bream is an American businessman and former television news booking executive, best known as the husband of Fox News anchor Shannon Bream.
|
E1288623
|
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: Sheldon Bream | Statement: [Shannon Bream, spouse, Sheldon Bream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheldon Bream Context triple: [Shannon Bream, spouse, Sheldon Bream]
-
A.
Sheldon Fox
Sheldon Fox is an architect best known as one of the founding partners of the global architecture firm Kohn Pedersen Fox (KPF).
-
B.
Sheldon Lane
Sheldon Lane is an individual notable enough to be recognized as a prominent bearer of the surname Lane.
-
C.
Sheldon Hawkes
Sheldon Hawkes is a brilliant former surgeon turned forensic pathologist and crime scene investigator on the television series CSI: NY.
-
D.
Sheldon Stone
Sheldon Stone is an American investor and co-founder of Oaktree Capital Management, a leading global alternative investment firm known for its expertise in distressed debt.
-
E.
Sheldon Emery
Sheldon Emery was a benefactor whose name was given to a professorship in chemistry at Harvard University.
- 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: Sheldon Bream Triple: [Shannon Bream, spouse, Sheldon Bream]
Generated description
Sheldon Bream is an American businessman and former television news booking executive, best known as the husband of Fox News anchor Shannon Bream.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheldon Bream Target entity description: Sheldon Bream is an American businessman and former television news booking executive, best known as the husband of Fox News anchor Shannon Bream.
-
A.
Sheldon Fox
Sheldon Fox is an architect best known as one of the founding partners of the global architecture firm Kohn Pedersen Fox (KPF).
-
B.
Sheldon Lane
Sheldon Lane is an individual notable enough to be recognized as a prominent bearer of the surname Lane.
-
C.
Sheldon Hawkes
Sheldon Hawkes is a brilliant former surgeon turned forensic pathologist and crime scene investigator on the television series CSI: NY.
-
D.
Sheldon Stone
Sheldon Stone is an American investor and co-founder of Oaktree Capital Management, a leading global alternative investment firm known for its expertise in distressed debt.
-
E.
Sheldon Emery
Sheldon Emery was a benefactor whose name was given to a professorship in chemistry at Harvard University.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879688908190a5428b1fa7525f62 |
completed | April 19, 2026, 7:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f83854388190bfa27b6adbf2b364 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f9e9f38c81908de58994c086b52f |
completed | May 12, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02fadc5d4481908f7e7139a83c02bc |
completed | May 12, 2026, 10:03 a.m. |
Created at: April 10, 2026, 10:13 a.m.