Triple

T13364884
Position Surface form Disambiguated ID Type / Status
Subject Benítez E318912 entity
Predicate hasNotableBearer P458 FINISHED
Object Derlis Benítez
Derlis Benítez is a Paraguayan former professional footballer known for playing as a forward for clubs in Paraguay and abroad.
E1040001 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: Derlis Benítez | Statement: [Benítez, hasNotableBearer, Derlis Benítez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derlis Benítez
Context triple: [Benítez, hasNotableBearer, Derlis Benítez]
  • A. Luis Fernandez
    Luis Fernandez is a former French footballer and manager best known as part of France’s celebrated 1980s midfield and for coaching clubs such as Paris Saint-Germain.
  • B. Óscar Pareja
    Óscar Pareja is a Colombian soccer manager and former midfielder known for his successful coaching stints in Major League Soccer, including with FC Dallas and Orlando City SC.
  • C. Javier Pereira
    Javier Pereira is a fictional character from the television series "Good Behavior."
  • D. Carlos Alberto Benítez
    Carlos Alberto Benítez is an individual notable enough to be recognized as a prominent bearer of the surname Benítez.
  • E. Reinaldo Rueda
    Reinaldo Rueda is a Colombian football manager known for coaching several Latin American national teams and leading them to major international tournaments.
  • 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: Derlis Benítez
Triple: [Benítez, hasNotableBearer, Derlis Benítez]
Generated description
Derlis Benítez is a Paraguayan former professional footballer known for playing as a forward for clubs in Paraguay and abroad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Derlis Benítez
Target entity description: Derlis Benítez is a Paraguayan former professional footballer known for playing as a forward for clubs in Paraguay and abroad.
  • A. Luis Fernandez
    Luis Fernandez is a former French footballer and manager best known as part of France’s celebrated 1980s midfield and for coaching clubs such as Paris Saint-Germain.
  • B. Óscar Pareja
    Óscar Pareja is a Colombian soccer manager and former midfielder known for his successful coaching stints in Major League Soccer, including with FC Dallas and Orlando City SC.
  • C. Javier Pereira
    Javier Pereira is a fictional character from the television series "Good Behavior."
  • D. Carlos Alberto Benítez
    Carlos Alberto Benítez is an individual notable enough to be recognized as a prominent bearer of the surname Benítez.
  • E. Reinaldo Rueda
    Reinaldo Rueda is a Colombian football manager known for coaching several Latin American national teams and leading them to major international tournaments.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7397b871c819081272c48b3210e00 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73a6bb0b0819095a43154ef31712c completed May 3, 2026, 12:07 p.m.
NED2 Entity disambiguation (via description) batch_69f73acdbbd88190909bf123926fe433 completed May 3, 2026, 12:08 p.m.
Created at: April 9, 2026, 9:32 p.m.