Triple
T10667135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Nápoles |
E251384
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Mantequilla
Mantequilla is the ring nickname of José Nápoles, the Cuban-Mexican boxing legend renowned as one of the greatest welterweights in history.
|
E877518
|
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: Mantequilla | Statement: [José Nápoles, nickname, Mantequilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mantequilla Context triple: [José Nápoles, nickname, Mantequilla]
-
A.
Manteigas
Manteigas is a small mountain town in central Portugal, known for its scenic location in the Serra da Estrela range and its natural landscapes.
-
B.
Buttermilk
Buttermilk is a ski area in Aspen, Colorado, best known for its gentle beginner-friendly terrain and for hosting major freestyle events like the Winter X Games.
-
C.
Milk
Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
-
D.
Milk
Milk is a nutrient-rich white liquid produced by the mammary glands of mammals and widely consumed as a staple food and beverage by humans.
-
E.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
- 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: Mantequilla Triple: [José Nápoles, nickname, Mantequilla]
Generated description
Mantequilla is the ring nickname of José Nápoles, the Cuban-Mexican boxing legend renowned as one of the greatest welterweights in history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mantequilla Target entity description: Mantequilla is the ring nickname of José Nápoles, the Cuban-Mexican boxing legend renowned as one of the greatest welterweights in history.
-
A.
Manteigas
Manteigas is a small mountain town in central Portugal, known for its scenic location in the Serra da Estrela range and its natural landscapes.
-
B.
Buttermilk
Buttermilk is a ski area in Aspen, Colorado, best known for its gentle beginner-friendly terrain and for hosting major freestyle events like the Winter X Games.
-
C.
Milk
Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
-
D.
Milk
Milk is a nutrient-rich white liquid produced by the mammary glands of mammals and widely consumed as a staple food and beverage by humans.
-
E.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f3204bac8190b9bd8bfcc705b06b |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9ceea08190944354d127f2c73b |
completed | April 10, 2026, 10:33 p.m. |
| NEDg | Description generation | batch_69d97df755708190bf71d04ead7eaa2c |
completed | April 10, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e96d9888190ba693e1df7eb502d |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 8, 2026, 9:08 p.m.