Triple
T5973088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Suárez |
E132920
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Benjamín Suárez
Benjamín Suárez is the son of Uruguayan footballer Luis Suárez.
|
E566239
|
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: Benjamín Suárez | Statement: [Luis Suárez, hasChild, Benjamín Suárez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamín Suárez Context triple: [Luis Suárez, hasChild, Benjamín Suárez]
-
A.
Matias Corea
Matias Corea is a designer and entrepreneur best known as the co-founder and former Chief Designer of the creative platform Behance.
-
B.
Miguel Almirón
Miguel Almirón is a Paraguayan attacking midfielder known for his creativity, pace, and key role in Major League Soccer before moving to the English Premier League.
-
C.
Sergio González
Sergio González is an alumnus of Gulliver Preparatory School, a private college-preparatory institution in Miami, Florida.
-
D.
Nicolás Lodeiro
Nicolás Lodeiro is a Uruguayan attacking midfielder known for his playmaking, leadership, and key role in helping Seattle Sounders FC win multiple MLS Cup titles.
-
E.
Diego Lugano
Diego Lugano is a retired Uruguayan central defender known for his leadership, physical style of play, and key roles for both the Uruguay national team and top South American and European clubs.
- 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: Benjamín Suárez Triple: [Luis Suárez, hasChild, Benjamín Suárez]
Generated description
Benjamín Suárez is the son of Uruguayan footballer Luis Suárez.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benjamín Suárez Target entity description: Benjamín Suárez is the son of Uruguayan footballer Luis Suárez.
-
A.
Matias Corea
Matias Corea is a designer and entrepreneur best known as the co-founder and former Chief Designer of the creative platform Behance.
-
B.
Miguel Almirón
Miguel Almirón is a Paraguayan attacking midfielder known for his creativity, pace, and key role in Major League Soccer before moving to the English Premier League.
-
C.
Sergio González
Sergio González is an alumnus of Gulliver Preparatory School, a private college-preparatory institution in Miami, Florida.
-
D.
Nicolás Lodeiro
Nicolás Lodeiro is a Uruguayan attacking midfielder known for his playmaking, leadership, and key role in helping Seattle Sounders FC win multiple MLS Cup titles.
-
E.
Diego Lugano
Diego Lugano is a retired Uruguayan central defender known for his leadership, physical style of play, and key roles for both the Uruguay national team and top South American and European clubs.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a01dd4081909097342afff31f9b |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cd3988c8190aecc690a02c26c25 |
completed | March 23, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69c11e4454948190a8f4643cb55e673a |
completed | March 23, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ec554688190bfe184608944a15e |
completed | March 23, 2026, 11:06 a.m. |
Created at: March 22, 2026, 4:03 p.m.