Triple
T5320524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Want One |
E121660
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Natasha
Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
|
E511622
|
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: Natasha | Statement: [Want One, hasPart, Natasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natasha Context triple: [Want One, hasPart, Natasha]
-
A.
Natalia Sedova
Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
-
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.
Tatiana Romanova
Tatiana Romanova is a Soviet cipher clerk and key Bond girl who becomes entangled with James Bond in the espionage plot of Ian Fleming’s novel and its film adaptation "From Russia with Love."
-
D.
Natalia
Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
-
E.
Yelena Belova
Yelena Belova is a Marvel Comics-trained assassin and the second Black Widow, known in the Marvel Cinematic Universe as a sharp-witted spy and fighter closely tied to Natasha Romanoff.
- 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: Natasha Triple: [Want One, hasPart, Natasha]
Generated description
Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natasha Target entity description: Natasha is a song by the South Korean girl group Wanna One, featured as part of their musical releases.
-
A.
Natalia Sedova
Natalia Sedova was a Russian revolutionary, Marxist activist, and intellectual best known as the lifelong partner and political collaborator of Leon Trotsky.
-
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.
Tatiana Romanova
Tatiana Romanova is a Soviet cipher clerk and key Bond girl who becomes entangled with James Bond in the espionage plot of Ian Fleming’s novel and its film adaptation "From Russia with Love."
-
D.
Natalia
Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
-
E.
Yelena Belova
Yelena Belova is a Marvel Comics-trained assassin and the second Black Widow, known in the Marvel Cinematic Universe as a sharp-witted spy and fighter closely tied to Natasha Romanoff.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8574c4b48190a0513ce59eedb564 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18a117d48190a7fb45be0b002f4e |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf197733b48190910bdd60fbd94fff |
completed | March 21, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf19e1b064819091851e975f83e781 |
completed | March 21, 2026, 10:21 p.m. |
Created at: March 20, 2026, 1:59 p.m.