Triple
T6147377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amílcar de Castro |
E137112
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Amílcar
Amílcar is the given name of Brazilian sculptor, graphic designer, and concrete artist Amílcar de Castro.
|
E572204
|
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: Amílcar | Statement: [Amílcar de Castro, givenName, Amílcar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amílcar Context triple: [Amílcar de Castro, givenName, Amílcar]
-
A.
Simón
Simón is the young adopted boy whose mysterious behavior and disappearance drive the central horror and emotional tension in the Spanish film "The Orphanage."
-
B.
Simón
Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
-
C.
Bolívar
Bolívar is a prominent Bolivian football club based in La Paz and one of the most successful teams in the country’s history.
-
D.
Tingo María
Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
-
E.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
- 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: Amílcar Triple: [Amílcar de Castro, givenName, Amílcar]
Generated description
Amílcar is the given name of Brazilian sculptor, graphic designer, and concrete artist Amílcar de Castro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amílcar Target entity description: Amílcar is the given name of Brazilian sculptor, graphic designer, and concrete artist Amílcar de Castro.
-
A.
Simón
Simón is the young adopted boy whose mysterious behavior and disappearance drive the central horror and emotional tension in the Spanish film "The Orphanage."
-
B.
Simón
Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
-
C.
Bolívar
Bolívar is a prominent Bolivian football club based in La Paz and one of the most successful teams in the country’s history.
-
D.
Tingo María
Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
-
E.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
- 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.