Triple
T6176126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rachel Maddow Show |
E137823
|
entity |
| Predicate | host |
P2592
|
FINISHED |
| Object | Rachel Maddow |
E162294
|
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: Rachel Maddow | Statement: [The Rachel Maddow Show, host, Rachel Maddow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Maddow Context triple: [The Rachel Maddow Show, host, Rachel Maddow]
-
A.
Rachel Maddow
chosen
Rachel Maddow is an American television news host, political commentator, and author best known for anchoring "The Rachel Maddow Show" on MSNBC.
-
B.
Norah O'Donnell
Norah O'Donnell is an American television journalist and news anchor best known for her work as a leading correspondent and anchor at CBS News.
-
C.
Ben Maddow
Ben Maddow was an American screenwriter and documentary filmmaker known for his work on classic mid-20th-century films and socially conscious cinema.
-
D.
Andrea Mitchell
Andrea Mitchell is an American television journalist and longtime NBC News correspondent known for her coverage of U.S. politics and foreign affairs.
-
E.
Gwen Ifill
Gwen Ifill was a pioneering American journalist and television newscaster, widely respected for her political reporting and for co-anchoring and moderating major public affairs programs on PBS.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc70ac481909fd1db0d69837eca |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ef0f76881909d678010d0c064e7 |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:18 p.m.