Triple
T17790240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Bream |
E444138
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Story with Shannon Bream |
—
|
NE NERFINISHED |
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: The Story with Shannon Bream | Statement: [Shannon Bream, notableWork, The Story with Shannon Bream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Story with Shannon Bream Context triple: [Shannon Bream, notableWork, The Story with Shannon Bream]
-
A.
Shannon (TV series)
Shannon is an early 1960s American crime drama television series starring George Nader as an insurance investigator who solves complex cases.
-
B.
Shannon Bream
Shannon Bream is an American journalist, attorney, and television news anchor best known as a prominent host and legal correspondent on Fox News.
-
C.
Inside Trader: The Martha Stewart Story
"Inside Trader: The Martha Stewart Story" is a television film dramatizing Martha Stewart’s rise to fame and her involvement in the insider trading scandal that led to her highly publicized legal troubles.
-
D.
She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement
"She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement" is a nonfiction book by New York Times reporters Jodi Kantor and Megan Twohey that chronicles their investigation into Harvey Weinstein’s sexual misconduct and the rise of the #MeToo movement.
-
E.
Anchorwoman
Anchorwoman is a short-lived 2007 Fox television series that blended reality TV and scripted comedy by following model Lauren Jones as she attempted to become a local news anchor in Texas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Story with Shannon Bream Target entity description: The Story with Shannon Bream is a Fox News Channel evening news and analysis program hosted by journalist and attorney Shannon Bream, focusing on major political and national stories.
-
A.
Shannon (TV series)
Shannon is an early 1960s American crime drama television series starring George Nader as an insurance investigator who solves complex cases.
-
B.
Shannon Bream
Shannon Bream is an American journalist, attorney, and television news anchor best known as a prominent host and legal correspondent on Fox News.
-
C.
Inside Trader: The Martha Stewart Story
"Inside Trader: The Martha Stewart Story" is a television film dramatizing Martha Stewart’s rise to fame and her involvement in the insider trading scandal that led to her highly publicized legal troubles.
-
D.
She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement
"She Said: Breaking the Sexual Harassment Story That Helped Ignite a Movement" is a nonfiction book by New York Times reporters Jodi Kantor and Megan Twohey that chronicles their investigation into Harvey Weinstein’s sexual misconduct and the rise of the #MeToo movement.
-
E.
Anchorwoman
Anchorwoman is a short-lived 2007 Fox television series that blended reality TV and scripted comedy by following model Lauren Jones as she attempted to become a local news anchor in Texas.
- F. None of above. chosen
Provenance (2 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. |
Created at: April 10, 2026, 10:13 a.m.