Triple

T4820058
Position Surface form Disambiguated ID Type / Status
Subject Howie Long E107687 entity
Predicate child P120 FINISHED
Object Kyle Long
Kyle Long is a former American football offensive lineman who played primarily for the Chicago Bears in the NFL.
 E473988 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: Kyle Long | Statement: [Howie Long, child, Kyle Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kyle Long
Context triple: [Howie Long, child, Kyle Long]
  • A. Chris Long
    Chris Long is a former American football defensive end who won two Super Bowls and is also known for his extensive philanthropic work.
  • B. Earl Thomas
    Earl Thomas is a former NFL free safety best known as a cornerstone of the Seattle Seahawks' "Legion of Boom" defense and a key contributor to their Super Bowl XLVIII championship.
  • C. Jeff Alexander
    Jeff Alexander was an American composer, arranger, and conductor known for his work in film and television music during the mid-20th century.
  • D. DeMeco Ryans
    DeMeco Ryans is a former NFL linebacker who became a highly regarded defensive coach and is now an NFL head coach.
  • E. Kyle Arrington
    Kyle Arrington is a former NFL cornerback best known for leading the league in interceptions in 2011 while playing for the New England Patriots and appearing in multiple Super Bowls.
  • 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: Kyle Long
Triple: [Howie Long, child, Kyle Long]
Generated description
Kyle Long is a former American football offensive lineman who played primarily for the Chicago Bears in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kyle Long
Target entity description: Kyle Long is a former American football offensive lineman who played primarily for the Chicago Bears in the NFL.
  • A. Chris Long
    Chris Long is a former American football defensive end who won two Super Bowls and is also known for his extensive philanthropic work.
  • B. Earl Thomas
    Earl Thomas is a former NFL free safety best known as a cornerstone of the Seattle Seahawks' "Legion of Boom" defense and a key contributor to their Super Bowl XLVIII championship.
  • C. Jeff Alexander
    Jeff Alexander was an American composer, arranger, and conductor known for his work in film and television music during the mid-20th century.
  • D. DeMeco Ryans
    DeMeco Ryans is a former NFL linebacker who became a highly regarded defensive coach and is now an NFL head coach.
  • E. Kyle Arrington
    Kyle Arrington is a former NFL cornerback best known for leading the league in interceptions in 2011 while playing for the New England Patriots and appearing in multiple Super Bowls.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c98358081908ed43425af667a98 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5caf2a488190aee1e81c71bd4b60 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5efdf88481908165609068de9273 completed March 21, 2026, 9:03 a.m.
NED2 Entity disambiguation (via description) batch_69be5f63d5d881909c2f8bf29152903f completed March 21, 2026, 9:05 a.m.
Created at: March 20, 2026, 1:24 p.m.