Triple

T12393130
Position Surface form Disambiguated ID Type / Status
Subject Liván Hernández E296046 entity
Predicate givenName P17 FINISHED
Object Liván
Liván is a Cuban-born former Major League Baseball pitcher best known for his durability, postseason performances, and World Series MVP award with the Florida Marlins in 1997.
 E982817 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: Liván | Statement: [Liván Hernández, givenName, Liván]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liván
Context triple: [Liván Hernández, givenName, Liván]
  • A. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • B. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • C. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • D. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • E. Teodorito
    Teodorito is a Spanish diminutive form of the given name Teodoro, typically used as an affectionate or familiar nickname.
  • 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: Liván
Triple: [Liván Hernández, givenName, Liván]
Generated description
Liván is a Cuban-born former Major League Baseball pitcher best known for his durability, postseason performances, and World Series MVP award with the Florida Marlins in 1997.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liván
Target entity description: Liván is a Cuban-born former Major League Baseball pitcher best known for his durability, postseason performances, and World Series MVP award with the Florida Marlins in 1997.
  • A. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • B. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • C. Magaña
    Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
  • D. Andrés
    Andrés is a Spanish given name commonly used as the equivalent of Andrew.
  • E. Teodorito
    Teodorito is a Spanish diminutive form of the given name Teodoro, typically used as an affectionate or familiar nickname.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347c239881909a031e9e195080c9 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f63674aa3c81908ba82a9d246b3b3a completed May 2, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69f63a9b32fc8190ab98492ff91d2a66 completed May 2, 2026, 5:55 p.m.
Created at: April 8, 2026, 9:54 p.m.