Triple
T19273812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Well Done Abba |
E481994
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Minissha Lamba
Minissha Lamba is an Indian actress known for her work in Hindi films, particularly in romantic comedies and dramas.
|
E1372997
|
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: Minissha Lamba | Statement: [Well Done Abba, hasCastMember, Minissha Lamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minissha Lamba Context triple: [Well Done Abba, hasCastMember, Minissha Lamba]
-
A.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
B.
Meghna Kapoor
Meghna Kapoor is known as the wife of Indian actor and filmmaker Rajat Kapoor.
-
C.
Bhumika Chawla
Bhumika Chawla is an Indian actress known for her work in Hindi, Telugu, and Tamil films, including notable roles in movies like "Tere Naam" and "Gandhi, My Father."
-
D.
Nagla Chandrabhan
Nagla Chandrabhan is a village in Uttar Pradesh, India, best known as the birthplace of prominent Indian politician and philosopher Deendayal Upadhyaya.
-
E.
Sobhita Dhulipala
Sobhita Dhulipala is an Indian actress and former model known for her work in Hindi cinema and streaming series such as "Made in Heaven."
- 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: Minissha Lamba Triple: [Well Done Abba, hasCastMember, Minissha Lamba]
Generated description
Minissha Lamba is an Indian actress known for her work in Hindi films, particularly in romantic comedies and dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Minissha Lamba Target entity description: Minissha Lamba is an Indian actress known for her work in Hindi films, particularly in romantic comedies and dramas.
-
A.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
B.
Meghna Kapoor
Meghna Kapoor is known as the wife of Indian actor and filmmaker Rajat Kapoor.
-
C.
Bhumika Chawla
Bhumika Chawla is an Indian actress known for her work in Hindi, Telugu, and Tamil films, including notable roles in movies like "Tere Naam" and "Gandhi, My Father."
-
D.
Nagla Chandrabhan
Nagla Chandrabhan is a village in Uttar Pradesh, India, best known as the birthplace of prominent Indian politician and philosopher Deendayal Upadhyaya.
-
E.
Sobhita Dhulipala
Sobhita Dhulipala is an Indian actress and former model known for her work in Hindi cinema and streaming series such as "Made in Heaven."
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b6dc9988190ad9d202721674c2d |
completed | May 15, 2026, 2:19 p.m. |
| NEDg | Description generation | batch_6a072c1ad84c819094160b1d03232c7a |
completed | May 15, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072c6fd87c819080ca7d7a25cbdb63 |
completed | May 15, 2026, 2:23 p.m. |
Created at: April 10, 2026, 1:29 p.m.