Triple

T6141512
Position Surface form Disambiguated ID Type / Status
Subject Navin Field E136972 entity
Predicate namedAfter P63 FINISHED
Object Frank Navin
Frank Navin was an American baseball executive best known as the longtime owner and president of the Detroit Tigers in the early 20th century.
E576980 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: Frank Navin | Statement: [Navin Field, namedAfter, Frank Navin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Navin
Context triple: [Navin Field, namedAfter, Frank Navin]
  • A. Philip Hart
    Philip Hart was a prominent U.S. Senator from Michigan known for his strong advocacy of civil rights and government reform.
  • B. Hartland Snyder
    Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
  • C. Jean Peters
    Jean Peters was an American film actress best known for her leading roles in 1940s and 1950s Hollywood adventure and drama films.
  • D. James Nourse
    James Nourse was an 18th-century British sea captain involved in the transatlantic slave trade.
  • E. Vincent Ostrom
    Vincent Ostrom was an American political scientist known for his foundational work on public choice theory, polycentric governance, and for co-founding the Workshop in Political Theory and Policy Analysis at Indiana University.
  • 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: Frank Navin
Triple: [Navin Field, namedAfter, Frank Navin]
Generated description
Frank Navin was an American baseball executive best known as the longtime owner and president of the Detroit Tigers in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frank Navin
Target entity description: Frank Navin was an American baseball executive best known as the longtime owner and president of the Detroit Tigers in the early 20th century.
  • A. Philip Hart
    Philip Hart was a prominent U.S. Senator from Michigan known for his strong advocacy of civil rights and government reform.
  • B. Hartland Snyder
    Hartland Snyder was an American theoretical physicist known for his early work on black hole physics and for being one of J. Robert Oppenheimer’s notable doctoral students.
  • C. Jean Peters
    Jean Peters was an American film actress best known for her leading roles in 1940s and 1950s Hollywood adventure and drama films.
  • D. James Nourse
    James Nourse was an 18th-century British sea captain involved in the transatlantic slave trade.
  • E. Vincent Ostrom
    Vincent Ostrom was an American political scientist known for his foundational work on public choice theory, polycentric governance, and for co-founding the Workshop in Political Theory and Policy Analysis at Indiana University.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb2404c8190bbbfa78d5f49389f completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d67cac0819088802d5a21654fe8 completed March 24, 2026, 4:04 a.m.
NEDg Description generation batch_69c2117655448190b50bf310f3aaaf13 completed March 24, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69c211e321188190ac5d20310e372134 completed March 24, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:16 p.m.