Triple
T16375215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Like It Here |
E397661
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Tio Macaco
"Tio Macaco" is a jazz fusion track by the band Snarky Puppy, featured on their live album "We Like It Here."
|
E1210530
|
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: Tio Macaco | Statement: [We Like It Here, hasTrack, Tio Macaco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tio Macaco Context triple: [We Like It Here, hasTrack, Tio Macaco]
-
A.
El Mono
El Mono is the nickname of Carlos Navarro Montoya, a renowned Colombian-Argentine goalkeeper best known for his long and successful career with Boca Juniors.
-
B.
Macaca
Macaca is a diverse genus of Old World monkeys that includes numerous macaque species widely distributed across Asia and parts of North Africa.
-
C.
Timão
Timão is the popular nickname of Sport Club Corinthians Paulista, one of Brazil’s most successful and widely supported football clubs.
-
D.
Laranjinha
Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
-
E.
Crystal the Monkey
Crystal the Monkey is a capuchin monkey actress best known for her roles in films and TV shows such as "The Hangover Part II," "Night at the Museum," and "Community."
- 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: Tio Macaco Triple: [We Like It Here, hasTrack, Tio Macaco]
Generated description
"Tio Macaco" is a jazz fusion track by the band Snarky Puppy, featured on their live album "We Like It Here."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tio Macaco Target entity description: "Tio Macaco" is a jazz fusion track by the band Snarky Puppy, featured on their live album "We Like It Here."
-
A.
El Mono
El Mono is the nickname of Carlos Navarro Montoya, a renowned Colombian-Argentine goalkeeper best known for his long and successful career with Boca Juniors.
-
B.
Macaca
Macaca is a diverse genus of Old World monkeys that includes numerous macaque species widely distributed across Asia and parts of North Africa.
-
C.
Timão
Timão is the popular nickname of Sport Club Corinthians Paulista, one of Brazil’s most successful and widely supported football clubs.
-
D.
Laranjinha
Laranjinha is a fast, sweeping right-hand bend on the Autódromo José Carlos Pace (Interlagos) circuit in São Paulo, Brazil, known for its challenging, high-speed nature.
-
E.
Crystal the Monkey
Crystal the Monkey is a capuchin monkey actress best known for her roles in films and TV shows such as "The Hangover Part II," "Night at the Museum," and "Community."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d6942081909616a2c6efee9967 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003561f83481909223c99bb83ebdf4 |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a0036f14bfc81909ea14a333c296187 |
completed | May 10, 2026, 7:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003785b9d881908049867524345e06 |
completed | May 10, 2026, 7:45 a.m. |
Created at: April 10, 2026, 5:08 a.m.