Triple
T11240818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shammi Kapoor |
E266067
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bundal Baaz
Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
|
E913415
|
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: Bundal Baaz | Statement: [Shammi Kapoor, notableWork, Bundal Baaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bundal Baaz Context triple: [Shammi Kapoor, notableWork, Bundal Baaz]
-
A.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
B.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
C.
Jaanbaaz
Jaanbaaz is a 1986 Indian action-romance film directed by Feroz Khan, known for its stylish presentation, star-studded cast, and memorable music.
-
D.
Phillauri
Phillauri is a 2017 Indian romantic comedy-drama film that blends elements of fantasy and reincarnation, featuring a ghost bride entangled in a modern-day Punjabi wedding.
-
E.
Dhool
Dhool is a popular 2003 Tamil action-comedy film starring Vikram, known for its mass appeal, energetic performances, and hit soundtrack.
- 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: Bundal Baaz Triple: [Shammi Kapoor, notableWork, Bundal Baaz]
Generated description
Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bundal Baaz Target entity description: Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
-
A.
Rangbaaz
Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
-
B.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
C.
Jaanbaaz
Jaanbaaz is a 1986 Indian action-romance film directed by Feroz Khan, known for its stylish presentation, star-studded cast, and memorable music.
-
D.
Phillauri
Phillauri is a 2017 Indian romantic comedy-drama film that blends elements of fantasy and reincarnation, featuring a ghost bride entangled in a modern-day Punjabi wedding.
-
E.
Dhool
Dhool is a popular 2003 Tamil action-comedy film starring Vikram, known for its mass appeal, energetic performances, and hit soundtrack.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad79e4788190af39186f37600a64 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12eee348190bee6c84587e4955d |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4be2bb8c88190a21773b0c43b6b99 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 8, 2026, 9:30 p.m.