Triple
T5079541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gru |
E114480
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object |
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.
|
E491802
|
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: El Macho | Statement: [Gru, enemyOf, El Macho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Macho Context triple: [Gru, enemyOf, El Macho]
-
A.
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.
-
B.
Muscle Man
Muscle Man is a loud, overweight, green-skinned groundskeeper known for his crude humor and "my mom" jokes in the animated series Regular Show.
-
C.
El Loco
El Loco is the famous nickname of Argentine football manager Marcelo Bielsa, known for his intense, unorthodox tactics and obsessive attention to detail.
-
D.
El Max
El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
-
E.
Alvarito
Alvarito is a Spanish diminutive form of the given name Álvaro, typically 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: El Macho Triple: [Gru, enemyOf, El Macho]
Generated description
El Macho is a bombastic, villainous character from the Despicable Me franchise known for his over-the-top machismo and schemes against Gru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Macho Target entity description: El Macho is a bombastic, villainous character from the Despicable Me franchise known for his over-the-top machismo and schemes against Gru.
-
A.
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.
-
B.
Muscle Man
Muscle Man is a loud, overweight, green-skinned groundskeeper known for his crude humor and "my mom" jokes in the animated series Regular Show.
-
C.
El Loco
El Loco is the famous nickname of Argentine football manager Marcelo Bielsa, known for his intense, unorthodox tactics and obsessive attention to detail.
-
D.
El Max
El Max is a coastal district of Alexandria in northern Egypt, known for its fishing community, beaches, and proximity to the Mediterranean Sea.
-
E.
Alvarito
Alvarito is a Spanish diminutive form of the given name Álvaro, typically 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f86c988190aa026073ed435a45 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb12bd7288190b66ac606aebcabca |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb19325fc8190b768b8bd27eb0d7c |
completed | March 21, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb23f789c8190811ee9e43327196c |
completed | March 21, 2026, 2:59 p.m. |
Created at: March 20, 2026, 1:39 p.m.