Triple

T23591438
Position Surface form Disambiguated ID Type / Status
Subject McReynolds–Sutherland–Van Devanter–Butler voting bloc E582487 entity
Predicate alsoKnownAs P39 FINISHED
Object Four Horsemen
The Four Horsemen were a conservative bloc of four U.S. Supreme Court justices in the 1930s known for consistently opposing and striking down key New Deal legislation.
 E1606464 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: Four Horsemen | Statement: [McReynolds–Sutherland–Van Devanter–Butler voting bloc, alsoKnownAs, Four Horsemen]
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: Four Horsemen
Triple: [McReynolds–Sutherland–Van Devanter–Butler voting bloc, alsoKnownAs, Four Horsemen]
Generated description
The Four Horsemen were a conservative bloc of four U.S. Supreme Court justices in the 1930s known for consistently opposing and striking down key New Deal legislation.

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_69e248f9e0a08190814772847003b1ff completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b035a5d88190bd2e1fa0170045cd completed April 29, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f694f38208190b52fd5563abb3e31 completed May 21, 2026, 8:21 p.m.
NEDg Description generation batch_6a0f6d3d0b548190aa6de291bffd32ce completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6db3e3c081909f81db7080f51351 completed May 21, 2026, 8:40 p.m.
Created at: April 17, 2026, 6:42 p.m.