Triple
T20194564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nataly Dawn |
E493048
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Nataly
Nataly is the given name of Nataly Dawn, an American singer-songwriter best known as one half of the indie pop duo Pomplamoose.
|
E1417434
|
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: Nataly | Statement: [Nataly Dawn, givenName, Nataly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nataly Context triple: [Nataly Dawn, givenName, Nataly]
-
A.
Natalia
Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
-
B.
Natalya
Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
-
C.
Nadya
Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
-
D.
Nina
Nina is a feminine given name used in various cultures, often as a short form of names like Antonina or Giannina, and borne by numerous notable figures in the arts and public life.
-
E.
Nina
Nina is a central character in the British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
- 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: Nataly Triple: [Nataly Dawn, givenName, Nataly]
Generated description
Nataly is the given name of Nataly Dawn, an American singer-songwriter best known as one half of the indie pop duo Pomplamoose.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nataly Target entity description: Nataly is the given name of Nataly Dawn, an American singer-songwriter best known as one half of the indie pop duo Pomplamoose.
-
A.
Natalia
Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
-
B.
Natalya
Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
-
C.
Nadya
Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
-
D.
Nina
Nina is a feminine given name used in various cultures, often as a short form of names like Antonina or Giannina, and borne by numerous notable figures in the arts and public life.
-
E.
Nina
Nina is a central character in the British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7ed548190a893110fa2ffb144 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843e4cc088190a33f932359490196 |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a0844c0f9ec81909773fa613e9aca08 |
completed | May 16, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084591f43481908e11348b21721b8a |
completed | May 16, 2026, 10:23 a.m. |
Created at: April 11, 2026, 11:37 p.m.