Triple
T11979401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etcheverry |
E285117
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Roberto Etcheverry
Roberto Etcheverry is a Chilean actor known for his work in television, film, and theater.
|
E976383
|
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: Roberto Etcheverry | Statement: [Etcheverry, hasNotableBearer, Roberto Etcheverry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roberto Etcheverry Context triple: [Etcheverry, hasNotableBearer, Roberto Etcheverry]
-
A.
Alberto Etcheverry
Alberto Etcheverry is a relatively obscure individual known primarily for sharing the Etcheverry surname rather than for widely documented public achievements.
-
B.
Luis Etcheverry
Luis Etcheverry is an individual notable enough to be recognized as a prominent bearer of the Etcheverry surname.
-
C.
Juan Carlos Etcheverry
Juan Carlos Etcheverry is a Uruguayan economist and politician who has served in prominent government and academic roles, particularly in the fields of economic policy and public finance.
-
D.
Guillermo Estrella
Guillermo Estrella is an actor best known for his role in Alejandro González Iñárritu’s acclaimed drama film "Biutiful."
-
E.
Daniel Etcheverry
Daniel Etcheverry is an individual notable enough to be recognized as a prominent bearer of the Etcheverry surname.
- 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: Roberto Etcheverry Triple: [Etcheverry, hasNotableBearer, Roberto Etcheverry]
Generated description
Roberto Etcheverry is a Chilean actor known for his work in television, film, and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roberto Etcheverry Target entity description: Roberto Etcheverry is a Chilean actor known for his work in television, film, and theater.
-
A.
Alberto Etcheverry
Alberto Etcheverry is a relatively obscure individual known primarily for sharing the Etcheverry surname rather than for widely documented public achievements.
-
B.
Luis Etcheverry
Luis Etcheverry is an individual notable enough to be recognized as a prominent bearer of the Etcheverry surname.
-
C.
Juan Carlos Etcheverry
Juan Carlos Etcheverry is a Uruguayan economist and politician who has served in prominent government and academic roles, particularly in the fields of economic policy and public finance.
-
D.
Guillermo Estrella
Guillermo Estrella is an actor best known for his role in Alejandro González Iñárritu’s acclaimed drama film "Biutiful."
-
E.
Daniel Etcheverry
Daniel Etcheverry is an individual notable enough to be recognized as a prominent bearer of the Etcheverry surname.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90393cfb08190b5b45d3e5e32fad3 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e391d7c8190a414cb3306bfe139 |
completed | May 2, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69f622a646c481908164ae5387625bb4 |
completed | May 2, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f623f5aa608190bce3e62e08077216 |
completed | May 2, 2026, 4:19 p.m. |
Created at: April 8, 2026, 9:46 p.m.