Triple

T1655859
Position Surface form Disambiguated ID Type / Status
Subject Tommy Lasorda E35797 entity
Predicate familyName P18 FINISHED
Object Lasorda
Lasorda is the surname of Tommy Lasorda, the Hall of Fame former manager of the Los Angeles Dodgers.
 E188982 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: Lasorda | Statement: [Tommy Lasorda, familyName, Lasorda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lasorda
Context triple: [Tommy Lasorda, familyName, Lasorda]
  • A. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • B. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • C. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • D. Durán
    Durán is an Ecuadorian city in the Guayas Province, located across the Guayas River from Guayaquil and serving as an important transport and industrial hub.
  • E. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • 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: Lasorda
Triple: [Tommy Lasorda, familyName, Lasorda]
Generated description
Lasorda is the surname of Tommy Lasorda, the Hall of Fame former manager of the Los Angeles Dodgers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lasorda
Target entity description: Lasorda is the surname of Tommy Lasorda, the Hall of Fame former manager of the Los Angeles Dodgers.
  • A. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • B. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • C. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • D. Durán
    Durán is an Ecuadorian city in the Guayas Province, located across the Guayas River from Guayaquil and serving as an important transport and industrial hub.
  • E. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb4535180819088e3bdaa591dcdbd completed March 7, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a8c22c8190b7f2883dfbd1403f completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad72371b648190a50b5b5ca9cd7f5d completed March 8, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_69ad72a64e0c8190a2b63c78c54896d0 completed March 8, 2026, 12:59 p.m.
Created at: March 4, 2026, 7:29 p.m.