Triple
T20329756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valentim |
E492442
|
entity |
| Predicate | hasAlternativeForm |
P455
|
FINISHED |
| Object |
Valentim (surname)
Valentim is a Portuguese-language surname derived from the given name Valentim, itself related to the Latin name Valentinus.
|
E492442
|
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: Valentim (surname) | Statement: [Valentim, hasAlternativeForm, Valentim (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valentim (surname) Context triple: [Valentim, hasAlternativeForm, Valentim (surname)]
-
A.
Valentín (Spanish)
Valentín is the Spanish form of the given name Valentine, commonly used in Spanish-speaking countries.
-
B.
Valentinovich
Valentinovich is a Russian patronymic derived from the male given name Valentin, indicating "son of Valentin."
-
C.
Valentin and Valentina
"Valentin and Valentina" is a Soviet romantic drama film directed by Georgy Natanson, based on a play by Mikhail Roshchin about the challenges faced by two young lovers.
-
D.
Valentim
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
-
E.
Valentinovna
Valentinovna is a Russian patronymic feminine middle name derived from the male given name Valentin.
- 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: Valentim (surname) Triple: [Valentim, hasAlternativeForm, Valentim (surname)]
Generated description
Valentim is a Portuguese-language surname derived from the given name Valentim, itself related to the Latin name Valentinus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valentim (surname) Target entity description: Valentim is a Portuguese-language surname derived from the given name Valentim, itself related to the Latin name Valentinus.
-
A.
Valentín (Spanish)
Valentín is the Spanish form of the given name Valentine, commonly used in Spanish-speaking countries.
-
B.
Valentinovich
Valentinovich is a Russian patronymic derived from the male given name Valentin, indicating "son of Valentin."
-
C.
Valentin and Valentina
"Valentin and Valentina" is a Soviet romantic drama film directed by Georgy Natanson, based on a play by Mikhail Roshchin about the challenges faced by two young lovers.
-
D.
Valentim
chosen
Valentim is a given name, primarily used in Portuguese-speaking countries, that corresponds to the variant of the name Valentine.
-
E.
Valentinovna
Valentinovna is a Russian patronymic feminine middle name derived from the male given name Valentin.
- F. None of above.
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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e6f5d08190bedf376bbb999ebc |
completed | April 20, 2026, 7 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086951af848190ae8085b7917ea551 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869e2a80481909105005195330dc9 |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6ad6c88190be1770758d2e1bbf |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:22 a.m.