Triple

T6648521
Position Surface form Disambiguated ID Type / Status
Subject Marcello Lippi E150760 entity
Predicate managedTeam P3234 FINISHED
Object Pistoiese
Pistoiese is an Italian football club known for competing in the lower professional tiers and for having been managed early in his coaching career by Marcello Lippi.
 E609626 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: Pistoiese | Statement: [Marcello Lippi, managedTeam, Pistoiese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pistoiese
Context triple: [Marcello Lippi, managedTeam, Pistoiese]
  • A. Paissandu
    Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
  • B. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • C. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • D. Paredes
    Paredes is a municipality in northern Portugal known for its historical heritage and proximity to the Porto metropolitan area.
  • E. Escalona
    Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
  • 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: Pistoiese
Triple: [Marcello Lippi, managedTeam, Pistoiese]
Generated description
Pistoiese is an Italian football club known for competing in the lower professional tiers and for having been managed early in his coaching career by Marcello Lippi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pistoiese
Target entity description: Pistoiese is an Italian football club known for competing in the lower professional tiers and for having been managed early in his coaching career by Marcello Lippi.
  • A. Paissandu
    Paissandu is a central neighborhood in Recife, Brazil, known for its historic urban character and proximity to key cultural and commercial areas of the city.
  • B. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • C. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • D. Paredes
    Paredes is a municipality in northern Portugal known for its historical heritage and proximity to the Porto metropolitan area.
  • E. Escalona
    Escalona is a historic Spanish town whose name is associated with the noble title of Duke of Escalona.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01fea4c8190a21ba7f4c2018c5e completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eef6def8819084bccdf6f11e63da completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a1149c8190af55a613eada84b6 completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f17ccd7c8190918e03b114f4f064 completed March 27, 2026, 9:07 p.m.
Created at: March 27, 2026, 2 p.m.