Triple
T12365982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Saldanha |
E294870
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Saldanha
Saldanha is a Portuguese surname associated with various notable figures, including Brazilian film director Carlos Saldanha.
|
E977777
|
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: Saldanha | Statement: [Carlos Saldanha, familyName, Saldanha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saldanha Context triple: [Carlos Saldanha, familyName, Saldanha]
-
A.
Saldanha Bay
Saldanha Bay is a natural deep-water harbor and coastal town on South Africa’s west coast, known for its fishing industry, port facilities, and maritime activities.
-
B.
Port Natal
Port Natal is the historical name for the South African port city of Durban, a major harbor and commercial center on the Indian Ocean coast.
-
C.
Porto das Dunas
Porto das Dunas is a popular beach and resort area in Aquiraz, Ceará, Brazil, known for its extensive sandy shoreline, seaside hotels, and the Beach Park water park complex.
-
D.
Port of Tubarão
The Port of Tubarão is a major Brazilian deep-water seaport and iron ore export terminal located near Vitória on the Atlantic coast.
-
E.
Santa Cruz do Sul
Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
- 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: Saldanha Triple: [Carlos Saldanha, familyName, Saldanha]
Generated description
Saldanha is a Portuguese surname associated with various notable figures, including Brazilian film director Carlos Saldanha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saldanha Target entity description: Saldanha is a Portuguese surname associated with various notable figures, including Brazilian film director Carlos Saldanha.
-
A.
Saldanha Bay
Saldanha Bay is a natural deep-water harbor and coastal town on South Africa’s west coast, known for its fishing industry, port facilities, and maritime activities.
-
B.
Port Natal
Port Natal is the historical name for the South African port city of Durban, a major harbor and commercial center on the Indian Ocean coast.
-
C.
Porto das Dunas
Porto das Dunas is a popular beach and resort area in Aquiraz, Ceará, Brazil, known for its extensive sandy shoreline, seaside hotels, and the Beach Park water park complex.
-
D.
Port of Tubarão
The Port of Tubarão is a major Brazilian deep-water seaport and iron ore export terminal located near Vitória on the Atlantic coast.
-
E.
Santa Cruz do Sul
Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abbaaec8190b388d9dff999da8d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c57a26081908d6903906f6e04f0 |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d0c2568819083e66c8ae484d30d |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:54 p.m.