Triple
T20383299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Talk |
E497893
|
entity |
| Predicate | formerHost |
P46400
|
FINISHED |
| Object | Julie Chen Moonves |
—
|
NE NERFINISHED |
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: Julie Chen Moonves | Statement: [The Talk, formerHost, Julie Chen Moonves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julie Chen Moonves Context triple: [The Talk, formerHost, Julie Chen Moonves]
-
A.
Julie Chen Moonves
chosen
Julie Chen Moonves is an American television personality and news anchor best known as the longtime host of the U.S. version of the reality show "Big Brother."
-
B.
Michael Moonves
Michael Moonves is the son of longtime television executive and former CBS CEO Leslie Moonves.
-
C.
Heidi Sutter
Heidi Sutter is an individual notable enough within her field or community to be recognized as a prominent bearer of the Sutter surname.
-
D.
Charlie Moonves
Charlie Moonves is one of the children of former CBS chief executive Leslie Moonves.
-
E.
Laurie Tisch
Laurie Tisch is an American philanthropist and arts patron known for her significant contributions to education, culture, and community initiatives in New York City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678b208ec8190a09bf5fd947a2a02 |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.