Triple
T21944460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billu |
E541899
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
Marjaani
"Marjaani" is a popular Bollywood dance track from the 2009 film *Billu*, known for its energetic choreography and catchy music.
|
E1509418
|
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: Marjaani | Statement: [Billu, hasSong, Marjaani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjaani Context triple: [Billu, hasSong, Marjaani]
-
A.
Maren
Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
-
B.
Aino Jawo
Aino Jawo is a Swedish singer and one half of the electro-pop duo Icona Pop, known for global hits like "I Love It."
-
C.
Sanna
Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
-
D.
Sanna
Sanna is a feminine given name commonly used as a short form of Susanna in various European countries.
-
E.
Maddalene
Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming 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: Marjaani Triple: [Billu, hasSong, Marjaani]
Generated description
"Marjaani" is a popular Bollywood dance track from the 2009 film *Billu*, known for its energetic choreography and catchy music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marjaani Target entity description: "Marjaani" is a popular Bollywood dance track from the 2009 film *Billu*, known for its energetic choreography and catchy music.
-
A.
Maren
Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
-
B.
Aino Jawo
Aino Jawo is a Swedish singer and one half of the electro-pop duo Icona Pop, known for global hits like "I Love It."
-
C.
Sanna
Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
-
D.
Sanna
Sanna is a feminine given name commonly used as a short form of Susanna in various European countries.
-
E.
Maddalene
Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f1f49c81909f6c17dad3bd0219 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6200fb1c81909a4ab05fd368dafc |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a626731d8819097b209ae1375ae25 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 16, 2026, 7:56 p.m.