Triple

T10450175
Position Surface form Disambiguated ID Type / Status
Subject Phil Martelli E246400 entity
Predicate givenName P17 FINISHED
Object Philip
Philip is the given first name of Phil Martelli, an American college basketball coach best known for his long tenure at Saint Joseph’s University.
 E863319 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: Philip | Statement: [Phil Martelli, givenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philip
Context triple: [Phil Martelli, givenName, Philip]
  • A. Philip
    Philip was the given name of Philip V, the first Bourbon king of Spain who reigned in the early 18th century.
  • B. Philip
    Philip is the given first name of Phil Esposito, the Hall of Fame Canadian ice hockey center and former NHL star.
  • C. Philip
    Philip is the middle name of George Philip Wells, the zoologist son of author H. G. Wells.
  • D. Philip
    Philip is the given name of the late American character actor Philip Baker Hall, known for his prolific work in film and television.
  • E. Philip
    Philip is the given name of Philip K. Wrigley, the American chewing gum magnate and longtime owner of the Chicago Cubs.
  • 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: Philip
Triple: [Phil Martelli, givenName, Philip]
Generated description
Philip is the given first name of Phil Martelli, an American college basketball coach best known for his long tenure at Saint Joseph’s University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Philip
Target entity description: Philip is the given first name of Phil Martelli, an American college basketball coach best known for his long tenure at Saint Joseph’s University.
  • A. Philip
    Philip is the given first name of Phil Jackson, the legendary NBA coach and former player known for winning multiple championships with the Chicago Bulls and Los Angeles Lakers.
  • B. Philip
    Philip is the given first name of Phil Knight, the American billionaire co-founder of Nike, Inc.
  • C. Philip
    Philip is the given name of Philip Rivers, a former NFL quarterback best known for his long career with the San Diego/Los Angeles Chargers.
  • D. Philip
    Philip is the given first name of Phil Murphy, the American politician serving as governor of New Jersey.
  • E. Philip
    Philip is the given first name of Phil Esposito, the Hall of Fame Canadian ice hockey center and former NHL star.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe09af04819083db42f4de4cb0a9 completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87e84f7a08190b83ecfec72efb7a7 completed April 10, 2026, 4:37 a.m.
NEDg Description generation batch_69d886c562c081908aae846da8efb1a5 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dce21448190b093b4f548e29f84 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:17 p.m.