Triple

T3109421
Position Surface form Disambiguated ID Type / Status
Subject Luis Hernández E64913 entity
Predicate nickname P55 FINISHED
Object El Matador
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
E327077 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: El Matador | Statement: [Luis Hernández, nickname, El Matador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Matador
Context triple: [Luis Hernández, nickname, El Matador]
  • A. Matador
    "Matador" is a song by the American rock band Spirit, known for blending psychedelic rock with jazz and progressive influences.
  • B. Glorioso
    Glorioso is the traditional nickname of Brazilian football club Botafogo de Futebol e Regatas, reflecting its proud and storied history.
  • C. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • D. El Matareya
    El Matareya is a northeastern district of Cairo known for its dense residential neighborhoods and proximity to the historic Heliopolis and Ain Shams areas.
  • E. El Max
    El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
  • 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: El Matador
Triple: [Luis Hernández, nickname, El Matador]
Generated description
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: El Matador
Target entity description: El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
  • A. Matador
    "Matador" is a song by the American rock band Spirit, known for blending psychedelic rock with jazz and progressive influences.
  • B. Glorioso
    Glorioso is the traditional nickname of Brazilian football club Botafogo de Futebol e Regatas, reflecting its proud and storied history.
  • C. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • D. El Matareya
    El Matareya is a northeastern district of Cairo known for its dense residential neighborhoods and proximity to the historic Heliopolis and Ain Shams areas.
  • E. El Max
    El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203902a6881909b20589fad629640 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204b575c88190a5d3705c81f0dc6b completed March 12, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69b20574fab48190bf48d62d35dd4ed5 completed March 12, 2026, 12:14 a.m.
Created at: March 8, 2026, 3:04 p.m.