Triple
T20881141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peláez |
E514149
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Manuel Peláez
Manuel Peláez is a notable individual who prominently bears the Spanish surname Peláez.
|
E1577301
|
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: Manuel Peláez | Statement: [Peláez, hasNotableBearer, Manuel Peláez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manuel Peláez Context triple: [Peláez, hasNotableBearer, Manuel Peláez]
-
A.
Manuel Lapeña
Manuel Lapeña was a Spanish general of the Peninsular War era, noted for his controversial leadership and missed opportunities during key engagements against Napoleonic forces.
-
B.
Francisco Alberto Caamaño
Francisco Alberto Caamaño was a Dominican military officer and constitutionalist leader who became a key figure in the 1965 Dominican Civil War and briefly served as de facto president while resisting foreign intervention.
-
C.
Manuel Becerra
Manuel Becerra is a Madrid Metro station serving as an interchange hub on Line 2 and other lines in the eastern part of the city.
-
D.
Enrique Peláez
Enrique Peláez is a notable individual who bears the Spanish surname Peláez, recognized for contributing to the name’s prominence.
-
E.
Manuel Vélez
Manuel Vélez was a historical figure credited with founding the Puerto Rican municipality of Aibonito.
- 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: Manuel Peláez Triple: [Peláez, hasNotableBearer, Manuel Peláez]
Generated description
Manuel Peláez is a notable individual who prominently bears the Spanish surname Peláez.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manuel Peláez Target entity description: Manuel Peláez is a notable individual who prominently bears the Spanish surname Peláez.
-
A.
Manuel Lapeña
Manuel Lapeña was a Spanish general of the Peninsular War era, noted for his controversial leadership and missed opportunities during key engagements against Napoleonic forces.
-
B.
Francisco Alberto Caamaño
Francisco Alberto Caamaño was a Dominican military officer and constitutionalist leader who became a key figure in the 1965 Dominican Civil War and briefly served as de facto president while resisting foreign intervention.
-
C.
Manuel Becerra
Manuel Becerra is a Madrid Metro station serving as an interchange hub on Line 2 and other lines in the eastern part of the city.
-
D.
Enrique Peláez
Enrique Peláez is a notable individual who bears the Spanish surname Peláez, recognized for contributing to the name’s prominence.
-
E.
Manuel Vélez
Manuel Vélez was a historical figure credited with founding the Puerto Rican municipality of Aibonito.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67974348190bd3484032c0d7b31 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f2817688190abd9a0a022ac618c |
completed | May 19, 2026, 10:44 a.m. |
| NEDg | Description generation | batch_6a0c4043d00481908f8d72d80c8ec692 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40d700188190a34ad429ec84e710 |
completed | May 19, 2026, 10:52 a.m. |
Created at: April 16, 2026, 12:46 p.m.