Triple
T21944019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lunchbox |
E541890
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Sikhya Entertainment
Sikhya Entertainment is an Indian film production company known for backing acclaimed independent and content-driven cinema.
|
E1508929
|
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: Sikhya Entertainment | Statement: [The Lunchbox, producer, Sikhya Entertainment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sikhya Entertainment Context triple: [The Lunchbox, producer, Sikhya Entertainment]
-
A.
Pooja Entertainment
Pooja Entertainment is an Indian film production company known for backing a range of Bollywood movies across genres.
-
B.
Storm Entertainment
Storm Entertainment is the ownership group behind the Lake Elsinore Storm minor league baseball team.
-
C.
Bakshi Productions
Bakshi Productions is an animation studio founded by director Ralph Bakshi, known for producing his distinctive and often experimental animated films.
-
D.
Suresh Productions
Suresh Productions is a prominent Indian film production company based in Hyderabad, widely known for producing numerous successful Telugu-language films.
-
E.
Sahai Films
Sahai Films is an Indian film production company known for producing the cult classic television film "In Which Annie Gives It Those Ones."
- 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: Sikhya Entertainment Triple: [The Lunchbox, producer, Sikhya Entertainment]
Generated description
Sikhya Entertainment is an Indian film production company known for backing acclaimed independent and content-driven cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sikhya Entertainment Target entity description: Sikhya Entertainment is an Indian film production company known for backing acclaimed independent and content-driven cinema.
-
A.
Pooja Entertainment
Pooja Entertainment is an Indian film production company known for backing a range of Bollywood movies across genres.
-
B.
Storm Entertainment
Storm Entertainment is the ownership group behind the Lake Elsinore Storm minor league baseball team.
-
C.
Bakshi Productions
Bakshi Productions is an animation studio founded by director Ralph Bakshi, known for producing his distinctive and often experimental animated films.
-
D.
Suresh Productions
Suresh Productions is a prominent Indian film production company based in Hyderabad, widely known for producing numerous successful Telugu-language films.
-
E.
Sahai Films
Sahai Films is an Indian film production company known for producing the cult classic television film "In Which Annie Gives It Those Ones."
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60ee7cc48190bf32574b758c6425 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6170bc5c8190b6b28e02675da476 |
completed | May 18, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a61f66a988190b07a9e36cacf44bf |
completed | May 18, 2026, 12:48 a.m. |
Created at: April 16, 2026, 7:56 p.m.