Triple
T1910207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ian Black |
E38090
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | The State |
E212026
|
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: The State | Statement: [Michael Ian Black, knownFor, The State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The State Context triple: [Michael Ian Black, knownFor, The State]
-
A.
The State
"The State" is a foundational political science text by Woodrow Wilson that analyzes the nature, functions, and evolution of government and political institutions.
-
B.
The State
chosen
The State is an American sketch comedy troupe best known for its influential 1990s MTV series featuring an ensemble of future prominent comedians.
-
C.
Free State
The Free State is a nickname for the U.S. state of Maryland, reflecting its historical stance on issues such as Prohibition and personal liberties.
-
D.
Free State
The Free State is a central South African province known for its vast farmlands, Afrikaans-speaking communities, and historic role in the former Orange Free State republic.
-
E.
Staat en Land
Staat en Land was a Dutch warship that was captured by the British Royal Navy during the 1797 Battle of Camperdown in the French Revolutionary Wars.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b7095c8190ad7e472aada30d3d |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d5972881908856b75b324a1ad2 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.