Triple
T6147233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Bandeira |
E137109
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bandeira
Bandeira is a Portuguese-language surname most notably associated with Brazilian poet Manuel Bandeira.
|
E572187
|
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: Bandeira | Statement: [Manuel Bandeira, familyName, Bandeira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bandeira Context triple: [Manuel Bandeira, familyName, Bandeira]
-
A.
Bandera
Bandera is a small Texas town known as the "Cowboy Capital of the World," famed for its Western heritage, dude ranches, and country music culture.
-
B.
Flagg
Flagg is a surname most notably associated with American artist and illustrator James Montgomery Flagg, famed for creating the iconic "I Want YOU for U.S. Army" Uncle Sam poster.
-
C.
The Flag
"The Flag" is a lesser-known work associated with British actor Robert Shaw, who is best remembered for his roles in films like "Jaws," "From Russia with Love," and "The Sting."
-
D.
Al bayrak
Al bayrak is the national flag of Turkey, featuring a white star and crescent on a red background.
-
E.
Three Flags
Three Flags is a 1958 painting by Jasper Johns featuring three superimposed American flags that became an iconic example of his exploration of everyday symbols in modern art.
- 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: Bandeira Triple: [Manuel Bandeira, familyName, Bandeira]
Generated description
Bandeira is a Portuguese-language surname most notably associated with Brazilian poet Manuel Bandeira.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bandeira Target entity description: Bandeira is a Portuguese-language surname most notably associated with Brazilian poet Manuel Bandeira.
-
A.
Bandera
Bandera is a small Texas town known as the "Cowboy Capital of the World," famed for its Western heritage, dude ranches, and country music culture.
-
B.
Flagg
Flagg is a surname most notably associated with American artist and illustrator James Montgomery Flagg, famed for creating the iconic "I Want YOU for U.S. Army" Uncle Sam poster.
-
C.
The Flag
"The Flag" is a lesser-known work associated with British actor Robert Shaw, who is best remembered for his roles in films like "Jaws," "From Russia with Love," and "The Sting."
-
D.
Al bayrak
Al bayrak is the national flag of Turkey, featuring a white star and crescent on a red background.
-
E.
Three Flags
Three Flags is a 1958 painting by Jasper Johns featuring three superimposed American flags that became an iconic example of his exploration of everyday symbols in modern art.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cdeeaa88190948d9db6eb2dbf46 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13603730881909b3991c7262509b5 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c139f6f11c81909eb0b2ab809de079 |
completed | March 23, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13a5f53ec8190be24f37fc5fb7f32 |
completed | March 23, 2026, 1:04 p.m. |
Created at: March 22, 2026, 4:16 p.m.