Triple

T8691609
Position Surface form Disambiguated ID Type / Status
Subject King Crimson E206302 entity
Predicate notableSong P4 FINISHED
Object Red
"Red" is a 1974 progressive rock track by King Crimson, renowned for its heavy, instrumental, and experimentally structured sound.
E750386 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: Red | Statement: [King Crimson, notableSong, Red]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red
Context triple: [King Crimson, notableSong, Red]
  • A. Red
    Red is the nickname of William L. "Red" Whittaker, a pioneering American roboticist known for his work in field robotics and autonomous vehicles.
  • B. 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.
  • C. Red
    Red is the tough, sharp-tongued Russian matriarch and prison cook from the television series "Orange Is the New Black."
  • D. Red
    Red is Virgin America’s signature in-flight entertainment system, offering passengers on-demand movies, TV, music, games, and other interactive services.
  • E. Red
    Red is one of the main playable heroes in the run-and-gun video game Gunstar Heroes, known for fast-paced combat and cooperative action.
  • 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: Red
Triple: [King Crimson, notableSong, Red]
Generated description
"Red" is a 1974 progressive rock track by King Crimson, renowned for its heavy, instrumental, and experimentally structured sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Red
Target entity description: "Red" is a 1974 progressive rock track by King Crimson, renowned for its heavy, instrumental, and experimentally structured sound.
  • A. Red chosen
    "Red" is a 1974 progressive rock album by King Crimson, renowned for its heavy, experimental sound and lasting influence on the genre.
  • B. 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.
  • C. Red
    Red is Taylor Swift’s critically acclaimed 2012 studio album that marked her transition from country to mainstream pop with emotionally charged, genre-blending songs.
  • D. Red
    Red is a central character in Stephen King's novella "Rita Hayworth and Shawshank Redemption" and its film adaptation, known as the wise, long-term inmate who befriends Andy Dufresne.
  • E. Red
    Red is the tough, sharp-tongued Russian matriarch and prison cook from the television series "Orange Is the New Black."
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5735ffdc819094126e2698f98511 completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28958ba481908383e31802ce2093 completed April 3, 2026, 2:40 a.m.
NEDg Description generation batch_69cf2bcff84881908a7985fdf8189583 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2ca1ddac8190a36367e6bba8e3c8 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:33 p.m.