Triple
T16528039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarina Wahab |
E401489
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tanu Weds Manu Returns |
E1218736
|
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: Tanu Weds Manu Returns | Statement: [Zarina Wahab, notableWork, Tanu Weds Manu Returns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanu Weds Manu Returns Context triple: [Zarina Wahab, notableWork, Tanu Weds Manu Returns]
-
A.
Tanu Weds Manu
chosen
Tanu Weds Manu is a popular 2011 Hindi romantic comedy film about an arranged marriage that evolves into an unexpected love story, starring R. Madhavan and Kangana Ranaut.
-
B.
Andhadhun
Andhadhun is a critically acclaimed 2018 Indian black comedy thriller film directed by Sriram Raghavan, known for its twist-filled plot and standout performances.
-
C.
Raanjhanaa
Raanjhanaa is a 2013 Hindi romantic drama film known for its intense love story, A.R. Rahman’s music, and Dhanush’s acclaimed Bollywood debut performance.
-
D.
Tarpeena
Tarpeena is a small rural town and locality in South Australia, known historically for its timber and forestry industries.
-
E.
Maatr
Maatr is a 2017 Indian revenge thriller film that follows a mother's quest for justice after a brutal crime against her and her daughter.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed57be481908625d4c5aab0940c |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a913388190afebe40fcc42e731 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.