Triple
T10213305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rangeela |
E242381
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Yaaro Sun Lo Zara
"Yaaro Sun Lo Zara" is a popular Hindi song from the 1995 Bollywood film *Rangeela*, known for its catchy melody and youthful, romantic vibe.
|
E849935
|
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: Yaaro Sun Lo Zara | Statement: [Rangeela, notableSong, Yaaro Sun Lo Zara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaaro Sun Lo Zara Context triple: [Rangeela, notableSong, Yaaro Sun Lo Zara]
-
A.
Deya Neya
Deya Neya is a classic Bengali film best known for featuring legendary actor Uttam Kumar in a memorable leading role.
-
B.
Lola Lola
Lola Lola is the seductive cabaret singer portrayed by Marlene Dietrich in the classic 1930 German film "The Blue Angel."
-
C.
Nini
Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
-
D.
Nini
Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
-
E.
Amoreena
"Amoreena" is a song by Elton John, featured on his 1970 album *Tumbleweed Connection*, known for its country-rock style and vivid storytelling lyrics.
- 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: Yaaro Sun Lo Zara Triple: [Rangeela, notableSong, Yaaro Sun Lo Zara]
Generated description
"Yaaro Sun Lo Zara" is a popular Hindi song from the 1995 Bollywood film *Rangeela*, known for its catchy melody and youthful, romantic vibe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yaaro Sun Lo Zara Target entity description: "Yaaro Sun Lo Zara" is a popular Hindi song from the 1995 Bollywood film *Rangeela*, known for its catchy melody and youthful, romantic vibe.
-
A.
Deya Neya
Deya Neya is a classic Bengali film best known for featuring legendary actor Uttam Kumar in a memorable leading role.
-
B.
Lola Lola
Lola Lola is the seductive cabaret singer portrayed by Marlene Dietrich in the classic 1930 German film "The Blue Angel."
-
C.
Nini
Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
-
D.
Nini
Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
-
E.
Amoreena
"Amoreena" is a song by Elton John, featured on his 1970 album *Tumbleweed Connection*, known for its country-rock style and vivid storytelling lyrics.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652ea80dc81908bc65ee2ec390467 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d657818b008190a24170717cff53b9 |
completed | April 8, 2026, 1:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d65835a11c819083d069ab0f644d4c |
completed | April 8, 2026, 1:29 p.m. |
Created at: April 6, 2026, 11:03 a.m.