Triple

T18124885
Position Surface form Disambiguated ID Type / Status
Subject Henry Warren Beatty E433844 entity
Predicate notableWork P4 FINISHED
Object Reds
Reds is a 1981 historical drama film directed by and starring Warren Beatty that chronicles the life and political radicalization of American journalist John Reed during the Russian Revolution.
 E125975 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: Reds | Statement: [Henry Warren Beatty, notableWork, Reds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reds
Context triple: [Henry Warren Beatty, notableWork, Reds]
  • A. Reds
    The Reds were the socialist and working-class faction that fought against the conservative Whites during the Finnish Civil War of 1918.
  • B. Reds
    Reds is a Roman chariot racing faction known for competing in venues such as the Circus Maximus.
  • C. Reds
    Reds is a sports team known for competing in events such as the Punakapina.
  • D. Reds
    Reds is the common nickname for Urawa Red Diamonds, a prominent professional football club based in Saitama, Japan.
  • E. Reds
    Reds is the short name for the University of New Brunswick’s varsity athletic teams, which compete in various collegiate sports in Canada.
  • 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: Reds
Triple: [Henry Warren Beatty, notableWork, Reds]
Generated description
Reds is a 1981 historical drama film directed by and starring Warren Beatty that chronicles the life and political radicalization of American journalist John Reed during the Russian Revolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reds
Target entity description: Reds is a 1981 historical drama film directed by and starring Warren Beatty that chronicles the life and political radicalization of American journalist John Reed during the Russian Revolution.
  • A. Reds chosen
    Reds is a 1981 historical drama film directed by and starring Warren Beatty that chronicles the life and political activism of American journalist John Reed during the Russian Revolution.
  • B. Reds
    The Reds were the socialist and working-class faction that fought against the conservative Whites during the Finnish Civil War of 1918.
  • C. Reds
    Reds is a Roman chariot racing faction known for competing in venues such as the Circus Maximus.
  • D. Reds
    Reds is the common nickname for Urawa Red Diamonds, a prominent professional football club based in Saitama, Japan.
  • E. Reds
    Reds is a sports team known for competing in events such as the Punakapina.
  • F. None of above.

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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dded1bd4819080fa362e88c921cf completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c46ce9c81908777ba5408fd0f4d completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037ca6f5888190b0ed34777aae862f completed May 12, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a037d319be48190b01a1b8d1f239078 completed May 12, 2026, 7:19 p.m.
Created at: April 10, 2026, 10:28 a.m.