Triple

T1759482
Position Surface form Disambiguated ID Type / Status
Subject Arlington, Texas E38623 entity
Predicate mayor P185 FINISHED
Object Jim Ross
Jim Ross is an American attorney, former police officer, and businessman who serves as the mayor of Arlington, Texas.
 E196727 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: Jim Ross | Statement: [Arlington, Texas, mayor, Jim Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jim Ross
Context triple: [Arlington, Texas, mayor, Jim Ross]
  • A. John Briscoe
    John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
  • B. Rob Van Dam
    Rob Van Dam is an American professional wrestler and former WWE and ECW star known for his high-flying style and innovative offensive moves.
  • C. Lex Luger
    Lex Luger is an American record producer known for pioneering the bombastic, hard-hitting trap sound that shaped early 2010s hip-hop.
  • D. Snitz Edwards
    Snitz Edwards was a Hungarian-American character actor of the silent film era, known for his comic and supporting roles in numerous Hollywood productions.
  • E. John Cena
    John Cena is an American professional wrestler, actor, and television host best known as one of WWE’s most popular and decorated superstars.
  • 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: Jim Ross
Triple: [Arlington, Texas, mayor, Jim Ross]
Generated description
Jim Ross is an American attorney, former police officer, and businessman who serves as the mayor of Arlington, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jim Ross
Target entity description: Jim Ross is an American attorney, former police officer, and businessman who serves as the mayor of Arlington, Texas.
  • A. John Briscoe
    John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
  • B. Rob Van Dam
    Rob Van Dam is an American professional wrestler and former WWE and ECW star known for his high-flying style and innovative offensive moves.
  • C. Lex Luger
    Lex Luger is an American record producer known for pioneering the bombastic, hard-hitting trap sound that shaped early 2010s hip-hop.
  • D. Snitz Edwards
    Snitz Edwards was a Hungarian-American character actor of the silent film era, known for his comic and supporting roles in numerous Hollywood productions.
  • E. John Cena
    John Cena is an American professional wrestler, actor, and television host best known as one of WWE’s most popular and decorated superstars.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa643f6a188190a250d5982badcce5 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0ec80f48190bcdc92e5ed4e44e6 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1e3587c8190bca329c68ff31c41 completed March 8, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69ada2977bfc8190ad028e17184fccaa completed March 8, 2026, 4:23 p.m.
Created at: March 4, 2026, 7:31 p.m.