Triple
T14264611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal 13 |
E353611
|
entity |
| Predicate | notableProgram |
P4
|
FINISHED |
| Object |
Machos
Machos is a popular Chilean telenovela that gained widespread recognition for its portrayal of a conservative family and its impact on Latin American television drama.
|
E1089995
|
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: Machos | Statement: [Canal 13, notableProgram, Machos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machos Context triple: [Canal 13, notableProgram, Machos]
-
A.
Macho
Macho is the ring nickname of Héctor Camacho, a flamboyant and highly skilled Puerto Rican professional boxer known for his speed and showmanship.
-
B.
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.
-
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.
Marquitos
Marquitos is a Spanish diminutive form of the given name Marcos, often used as an affectionate nickname.
- 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: Machos Triple: [Canal 13, notableProgram, Machos]
Generated description
Machos is a popular Chilean telenovela that gained widespread recognition for its portrayal of a conservative family and its impact on Latin American television drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Machos Target entity description: Machos is a popular Chilean telenovela that gained widespread recognition for its portrayal of a conservative family and its impact on Latin American television drama.
-
A.
Macho
Macho is the ring nickname of Héctor Camacho, a flamboyant and highly skilled Puerto Rican professional boxer known for his speed and showmanship.
-
B.
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.
-
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.
Marquitos
Marquitos is a Spanish diminutive form of the given name Marcos, often used as an affectionate nickname.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6357a8188190ba518a486521052b |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326367348190b4b31b32f4ca5639 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd335a496881908689b5769bb677ae |
completed | May 8, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3445422c8190a22eaa4bef5fdf76 |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 10, 2026, 1:09 a.m.