Triple
T12511804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Héctor Camacho |
E299096
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Macho
Macho is the ring nickname of Héctor Camacho, a flamboyant and highly skilled Puerto Rican professional boxer known for his speed and showmanship.
|
E986953
|
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: Macho | Statement: [Héctor Camacho, nickname, Macho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macho Context triple: [Héctor Camacho, nickname, Macho]
-
A.
El Macho
El Macho is a bombastic, villainous character from the Despicable Me franchise known for his over-the-top machismo and schemes against Gru.
-
B.
The Matador
The Matador is a 2005 dark comedy crime film starring Pierce Brosnan as a jaded hitman who forms an unlikely friendship with a struggling businessman, directed by Richard Shepard.
-
C.
Matadors
The Matadors are the athletic teams representing California State University, Northridge in NCAA competition.
-
D.
Mucho Macho Man
Mucho Macho Man is an American Thoroughbred racehorse best known for winning the 2013 Breeders’ Cup Classic and for his durability and late career peak.
-
E.
El Matador
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
- 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: Macho Triple: [Héctor Camacho, nickname, Macho]
Generated description
Macho is the ring nickname of Héctor Camacho, a flamboyant and highly skilled Puerto Rican professional boxer known for his speed and showmanship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Macho Target entity description: Macho is the ring nickname of Héctor Camacho, a flamboyant and highly skilled Puerto Rican professional boxer known for his speed and showmanship.
-
A.
El Macho
El Macho is a bombastic, villainous character from the Despicable Me franchise known for his over-the-top machismo and schemes against Gru.
-
B.
The Matador
The Matador is a 2005 dark comedy crime film starring Pierce Brosnan as a jaded hitman who forms an unlikely friendship with a struggling businessman, directed by Richard Shepard.
-
C.
Matadors
The Matadors are the athletic teams representing California State University, Northridge in NCAA competition.
-
D.
Mucho Macho Man
Mucho Macho Man is an American Thoroughbred racehorse best known for winning the 2013 Breeders’ Cup Classic and for his durability and late career peak.
-
E.
El Matador
El Matador is the famous nickname of Mexican former football striker Luis Hernández, known for his prolific goal-scoring and standout performances in the late 1990s.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb94d608190aae4c8ec39556362 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce1b0ec8190bcbd245255e548b5 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64da735f48190b051ce173c13e5b2 |
completed | May 2, 2026, 7:16 p.m. |
Created at: April 8, 2026, 9:57 p.m.