Triple

T8266928
Position Surface form Disambiguated ID Type / Status
Subject Fab Five E193323 entity
Predicate hasMember P10 FINISHED
Object Ray Jackson
Ray Jackson is a former American college basketball player best known as one of the University of Michigan's famed "Fab Five" in the early 1990s.
 E722623 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: Ray Jackson | Statement: [Fab Five, hasMember, Ray Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ray Jackson
Context triple: [Fab Five, hasMember, Ray Jackson]
  • A. Leo Parker
    Leo Parker was an American baritone saxophonist known for his work in the bebop and hard bop jazz scenes of the 1940s and 1950s.
  • B. Timothy Rivers
    Timothy Rivers is an individual notable enough to be specifically cited as a bearer of the surname Rivers.
  • C. Jon Hensley
    Jon Hensley is an American actor best known for his long-running role as Holden Snyder on the soap opera "As the World Turns."
  • D. Mark Pellington
    Mark Pellington is an American film and music video director known for his visually striking, emotionally intense work on projects such as U2’s “One” and the film “Arlington Road.”
  • E. Timothy Black
    Timothy Black is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • 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: Ray Jackson
Triple: [Fab Five, hasMember, Ray Jackson]
Generated description
Ray Jackson is a former American college basketball player best known as one of the University of Michigan's famed "Fab Five" in the early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ray Jackson
Target entity description: Ray Jackson is a former American college basketball player best known as one of the University of Michigan's famed "Fab Five" in the early 1990s.
  • A. Leo Parker
    Leo Parker was an American baritone saxophonist known for his work in the bebop and hard bop jazz scenes of the 1940s and 1950s.
  • B. Timothy Rivers
    Timothy Rivers is an individual notable enough to be specifically cited as a bearer of the surname Rivers.
  • C. Jon Hensley
    Jon Hensley is an American actor best known for his long-running role as Holden Snyder on the soap opera "As the World Turns."
  • D. Mark Pellington
    Mark Pellington is an American film and music video director known for his visually striking, emotionally intense work on projects such as U2’s “One” and the film “Arlington Road.”
  • E. Timothy Black
    Timothy Black is a relatively obscure individual whose specific public notability is not clearly established from the given information.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794e6880819084dff5df42332835 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6827e44c81909be6e426ab9226c7 completed April 1, 2026, 6:47 p.m.
NEDg Description generation batch_69cd6d4fa17481909f28ad7eb9bceb42 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7df568788190a5a219baa65a6a19 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:50 p.m.