Triple
T19273837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Well Done Abba |
E481994
|
entity |
| Predicate | leadActress |
P6108
|
FINISHED |
| Object | Minissha Lamba |
E1372997
|
NE FINISHED |
How this triple was built (2 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, leadActress, Minissha Lamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minissha Lamba Context triple: [Well Done Abba, leadActress, Minissha Lamba]
-
A.
Minissha Lamba
chosen
Minissha Lamba is an Indian actress known for her work in Hindi films, particularly in romantic comedies and dramas.
-
B.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
C.
Meghna Kapoor
Meghna Kapoor is known as the wife of Indian actor and filmmaker Rajat Kapoor.
-
D.
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."
-
E.
Nagla Chandrabhan
Nagla Chandrabhan is a village in Uttar Pradesh, India, best known as the birthplace of prominent Indian politician and philosopher Deendayal Upadhyaya.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_6a0733bbe4f08190be9eab99f8dce869 |
completed | May 15, 2026, 2:54 p.m. |
Created at: April 10, 2026, 1:29 p.m.