Triple
T11094464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gato Barbieri |
E262341
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Gato
Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
|
E904395
|
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: Gato | Statement: [Gato Barbieri, nickname, Gato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gato Context triple: [Gato Barbieri, nickname, Gato]
-
A.
Mata La Gata
Mata La Gata is a small mangrove cay and popular natural swimming and snorkeling spot off the coast of Lajas in southwestern Puerto Rico.
-
B.
Los Gatos
Los Gatos is an affluent town in California’s Silicon Valley known for its historic downtown, upscale residential neighborhoods, and proximity to major tech companies.
-
C.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
D.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
E.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
- 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: Gato Triple: [Gato Barbieri, nickname, Gato]
Generated description
Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gato Target entity description: Gato is the nickname of Argentine jazz saxophonist and composer Gato Barbieri, known for his passionate playing style and contributions to Latin jazz.
-
A.
Mata La Gata
Mata La Gata is a small mangrove cay and popular natural swimming and snorkeling spot off the coast of Lajas in southwestern Puerto Rico.
-
B.
Los Gatos
Los Gatos is an affluent town in California’s Silicon Valley known for its historic downtown, upscale residential neighborhoods, and proximity to major tech companies.
-
C.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
D.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
E.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0783e88190aae3d461730c2d70 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7e0c7e4819098e690ffebbd8e61 |
completed | April 18, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69e3f2cbb4708190a328cff473104d14 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f497a01881909d1dae70a02e5f97 |
completed | April 18, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:27 p.m.