Triple

T2715200
Position Surface form Disambiguated ID Type / Status
Subject Roush Fenway Racing E59950 entity
Predicate notableCarNumber P7729 FINISHED
Object No. 16
No. 16 is a well-known NASCAR car number historically fielded by Roush Fenway Racing in top-level stock car competition.
E291800 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: No. 16 | Statement: [Roush Fenway Racing, notableCarNumber, No. 16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No. 16
Context triple: [Roush Fenway Racing, notableCarNumber, No. 16]
  • A. Sweet Sixteen
    Sweet Sixteen is the round of the NCAA Division I Men’s Basketball Tournament in which 16 remaining teams compete for spots in the Elite Eight.
  • B. Sweet Sixteen
    Sweet Sixteen is a 2002 British social-realist drama film by Ken Loach that follows a Scottish teenager’s struggle to escape poverty and crime before his mother’s release from prison.
  • C. D16
    D16 was the pennant number assigned to HMS Ivanhoe, a British Royal Navy I-class destroyer that served during World War II.
  • D. MA 16
    MA 16 is a state highway designation for a major east–west route in Massachusetts that passes through several cities and suburbs near Boston.
  • E. Fighting Fourth
    Fighting Fourth is the storied nickname of the U.S. Marine Corps’ 4th Marine Division, renowned for its combat service in major World War II Pacific campaigns.
  • 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: No. 16
Triple: [Roush Fenway Racing, notableCarNumber, No. 16]
Generated description
No. 16 is a well-known NASCAR car number historically fielded by Roush Fenway Racing in top-level stock car competition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: No. 16
Target entity description: No. 16 is a well-known NASCAR car number historically fielded by Roush Fenway Racing in top-level stock car competition.
  • A. Sweet Sixteen
    Sweet Sixteen is the round of the NCAA Division I Men’s Basketball Tournament in which 16 remaining teams compete for spots in the Elite Eight.
  • B. Sweet Sixteen
    Sweet Sixteen is a 2002 British social-realist drama film by Ken Loach that follows a Scottish teenager’s struggle to escape poverty and crime before his mother’s release from prison.
  • C. D16
    D16 was the pennant number assigned to HMS Ivanhoe, a British Royal Navy I-class destroyer that served during World War II.
  • D. MA 16
    MA 16 is a state highway designation for a major east–west route in Massachusetts that passes through several cities and suburbs near Boston.
  • E. Fighting Fourth
    Fighting Fourth is the storied nickname of the U.S. Marine Corps’ 4th Marine Division, renowned for its combat service in major World War II Pacific campaigns.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1fc30c81909ac06588d50abdf8 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68a3cb881909fd29018154ae4d3 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb703a5f8819097b71e19db11feaf completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7aa131c81908cdfbda9575312f3 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:55 p.m.