Triple
T7213562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Paymer |
E149469
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
State and Main
State and Main is a satirical comedy film about a Hollywood production disrupting life in a small New England town.
|
E649032
|
NE FINISHED |
How this triple was built (4 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: State and Main | Statement: [David Paymer, notableWork, State and Main]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State and Main Context triple: [David Paymer, notableWork, State and Main]
-
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
The State is an American sketch comedy troupe best known for its influential 1990s MTV series featuring an ensemble of future prominent comedians.
-
C.
State
State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
-
D.
State
State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
-
E.
New State
New State was the authoritarian corporatist regime led by António de Oliveira Salazar that ruled Portugal from the 1930s until the Carnation Revolution in 1974.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: State and Main Triple: [David Paymer, notableWork, State and Main]
Generated description
State and Main is a satirical comedy film about a Hollywood production disrupting life in a small New England town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: State and Main Target entity description: State and Main is a satirical comedy film about a Hollywood production disrupting life in a small New England town.
-
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
The State is an American sketch comedy troupe best known for its influential 1990s MTV series featuring an ensemble of future prominent comedians.
-
C.
State
State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
-
D.
State
State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
-
E.
New State
New State was the authoritarian corporatist regime led by António de Oliveira Salazar that ruled Portugal from the 1930s until the Carnation Revolution in 1974.
- F. None of above. chosen
Provenance (5 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98b61448190add3624a818fdc7b |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfcec3448190ab29c3742aa167ae |
completed | March 28, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c7c05a1f548190914a9b2ba98cbef2 |
completed | March 28, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c0e6b508819093092e3516a9ec46 |
completed | March 28, 2026, 11:52 a.m. |
Created at: March 27, 2026, 2:53 p.m.