Triple
T6176222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All In with Chris Hayes |
E137825
|
entity |
| Predicate | host |
P2592
|
FINISHED |
| Object | Chris Hayes |
E572630
|
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: Chris Hayes | Statement: [All In with Chris Hayes, host, Chris Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Hayes Context triple: [All In with Chris Hayes, host, Chris Hayes]
-
A.
Chris Hayes
chosen
Chris Hayes is an American political commentator, journalist, and author best known as a prime-time host on MSNBC.
-
B.
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.
-
C.
Rachel Maddow
Rachel Maddow is an American television news host, political commentator, and author best known for anchoring "The Rachel Maddow Show" on MSNBC.
-
D.
Jake Tapper
Jake Tapper is an American journalist, author, and longtime CNN anchor known for his political reporting and nonfiction books.
-
E.
Nick Barbaro
Nick Barbaro is an American media entrepreneur and publisher best known as a co-founder of the South by Southwest (SXSW) festival in Austin, Texas.
- 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.