Triple

T3727983
Position Surface form Disambiguated ID Type / Status
Subject Erik the Red E78994 entity
Predicate epithet P743 FINISHED
Object the Red
"The Red" is the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
E384766 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: the Red | Statement: [Erik the Red, epithet, the Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Red
Context triple: [Erik the Red, epithet, the Red]
  • A. (RED)
    (RED) is a global charity initiative and brand that partners with companies to raise funds and awareness to fight AIDS and other preventable diseases, particularly in Africa.
  • B. Rojo
    Rojo is a Spanish surname borne by various notable figures, including artists, politicians, and athletes.
  • C. Rojo
    "Rojo" is a popular Spanish-language reggaeton song by Colombian artist J Balvin, known for its emotional tone and vivid red-themed visuals.
  • D. Red V
    Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
  • E. Red
    Red is the nickname of Red Rolfe, an American Major League Baseball third baseman best known for his years with the New York Yankees in the 1930s and 1940s.
  • 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: the Red
Triple: [Erik the Red, epithet, the Red]
Generated description
"The Red" is the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: the Red
Target entity description: "The Red" is the famous epithet of Erik the Red, the Norse explorer known for founding the first Norse settlements in Greenland.
  • A. (RED)
    (RED) is a global charity initiative and brand that partners with companies to raise funds and awareness to fight AIDS and other preventable diseases, particularly in Africa.
  • B. Rojo
    Rojo is a Spanish surname borne by various notable figures, including artists, politicians, and athletes.
  • C. Rojo
    "Rojo" is a popular Spanish-language reggaeton song by Colombian artist J Balvin, known for its emotional tone and vivid red-themed visuals.
  • D. Red V
    Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
  • E. Red
    "Red" is a stage play by John Logan that dramatizes the life and work of abstract expressionist painter Mark Rothko, particularly his creation of the Seagram Murals.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf921bc81908bb347d6b9204670 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db1102a08190b5965c474dfab6db completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4dc11101881909fe33e7675fc24a1 completed March 14, 2026, 3:54 a.m.
NED2 Entity disambiguation (via description) batch_69b4dfbfd4248190b112cd4ef8ab9c5f completed March 14, 2026, 4:10 a.m.
Created at: March 8, 2026, 3:34 p.m.