Triple
T8598025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club León |
E203598
|
entity |
| Predicate | chairman |
P377
|
FINISHED |
| Object |
Jesús Martínez Murguía
Jesús Martínez Murguía is a Mexican football executive best known for leading Club León through a highly successful period in Liga MX.
|
E779995
|
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: Jesús Martínez Murguía | Statement: [Club León, chairman, Jesús Martínez Murguía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesús Martínez Murguía Context triple: [Club León, chairman, Jesús Martínez Murguía]
-
A.
Jesús Ángel Ochoa Zazueta
Jesús Ángel Ochoa Zazueta is a researcher known for his documentation and study of the Cochimí language.
-
B.
Sergio Avelar
Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
-
C.
Rafael Salmerón
Rafael Salmerón is a Spanish author and illustrator known for his work in children's and young adult literature.
-
D.
Horacio Gutiérrez
Horacio Gutiérrez is a Cuban-American classical pianist renowned for his virtuosic technique and interpretations of the Romantic repertoire.
-
E.
Raúl Cárdenas
Raúl Cárdenas was a prominent Mexican football manager best known for leading Club América to multiple league titles during the 1960s and 1970s.
- 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: Jesús Martínez Murguía Triple: [Club León, chairman, Jesús Martínez Murguía]
Generated description
Jesús Martínez Murguía is a Mexican football executive best known for leading Club León through a highly successful period in Liga MX.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jesús Martínez Murguía Target entity description: Jesús Martínez Murguía is a Mexican football executive best known for leading Club León through a highly successful period in Liga MX.
-
A.
Jesús Ángel Ochoa Zazueta
Jesús Ángel Ochoa Zazueta is a researcher known for his documentation and study of the Cochimí language.
-
B.
Sergio Avelar
Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
-
C.
Rafael Salmerón
Rafael Salmerón is a Spanish author and illustrator known for his work in children's and young adult literature.
-
D.
Horacio Gutiérrez
Horacio Gutiérrez is a Cuban-American classical pianist renowned for his virtuosic technique and interpretations of the Romantic repertoire.
-
E.
Raúl Cárdenas
Raúl Cárdenas was a prominent Mexican football manager best known for leading Club América to multiple league titles during the 1960s and 1970s.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0470dd24c8190851f71104c9fdf0f |
completed | April 3, 2026, 11:02 p.m. |
| NEDg | Description generation | batch_69d0489f19808190b793dac8c0f743bc |
completed | April 3, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0496ccb908190b9ebe632df1447be |
completed | April 3, 2026, 11:12 p.m. |
Created at: March 30, 2026, 6:24 p.m.