Triple
T8575981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Peña |
E203047
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Roman Peña
Roman Peña is the son of American actor Michael Peña.
|
E792271
|
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: Roman Peña | Statement: [Michael Peña, hasChild, Roman Peña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roman Peña Context triple: [Michael Peña, hasChild, Roman Peña]
-
A.
Yonni Barrios
Yonni Barrios is a Chilean miner who gained international attention as one of the 33 workers dramatically rescued after being trapped underground during the 2010 Copiapó mining accident.
-
B.
Edison Peña
Edison Peña is a Chilean miner who gained international recognition as one of the 33 workers dramatically rescued after being trapped underground for 69 days in the 2010 Copiapó mining accident.
-
C.
Adrian Paz
Adrian Paz is a former professional soccer player best known for scoring in the 1997 MLS Cup final.
-
D.
Oscar D’León
Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
-
E.
Rodrigo Corral
Rodrigo Corral is a prominent American graphic designer best known for creating distinctive, concept-driven book covers for major contemporary authors and publishers.
- 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: Roman Peña Triple: [Michael Peña, hasChild, Roman Peña]
Generated description
Roman Peña is the son of American actor Michael Peña.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roman Peña Target entity description: Roman Peña is the son of American actor Michael Peña.
-
A.
Yonni Barrios
Yonni Barrios is a Chilean miner who gained international attention as one of the 33 workers dramatically rescued after being trapped underground during the 2010 Copiapó mining accident.
-
B.
Edison Peña
Edison Peña is a Chilean miner who gained international recognition as one of the 33 workers dramatically rescued after being trapped underground for 69 days in the 2010 Copiapó mining accident.
-
C.
Adrian Paz
Adrian Paz is a former professional soccer player best known for scoring in the 1997 MLS Cup final.
-
D.
Oscar D’León
Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
-
E.
Rodrigo Corral
Rodrigo Corral is a prominent American graphic designer best known for creating distinctive, concept-driven book covers for major contemporary authors and publishers.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea9638c081909a537cc44e485bee |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e2b483308190ab0bb30c483cafcc |
completed | April 4, 2026, 10:06 a.m. |
| NEDg | Description generation | batch_69d0e502b68081909a9f9476421ba9b5 |
completed | April 4, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e5af7360819096c6295de0ce5f32 |
completed | April 4, 2026, 10:19 a.m. |
Created at: March 30, 2026, 6:21 p.m.