Triple
T22292305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sairat |
E551027
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Nittin Keni
Nittin Keni is an Indian film producer best known for backing the critically acclaimed and commercially successful Marathi film "Sairat."
|
E1528864
|
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: Nittin Keni | Statement: [Sairat, producer, Nittin Keni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nittin Keni Context triple: [Sairat, producer, Nittin Keni]
-
A.
Keni
Keni is a given name variant of Kenny, typically used as a personal name.
-
B.
Kijitonyama
Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
-
C.
Naku Tanti
Naku Tanti is a celebrated literary work by the renowned Kannada poet D. R. Bendre, recognized as one of his most important contributions to modern Kannada poetry.
-
D.
Kugu Uwanh
Kugu Uwanh is an Aboriginal Australian language traditionally spoken by the Kugu people of western Cape York Peninsula in Queensland.
-
E.
N'Kono
N'Kono is the surname of Thomas N'Kono, a renowned Cameroonian former goalkeeper considered one of Africa's greatest footballers.
- 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: Nittin Keni Triple: [Sairat, producer, Nittin Keni]
Generated description
Nittin Keni is an Indian film producer best known for backing the critically acclaimed and commercially successful Marathi film "Sairat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nittin Keni Target entity description: Nittin Keni is an Indian film producer best known for backing the critically acclaimed and commercially successful Marathi film "Sairat."
-
A.
Keni
Keni is a given name variant of Kenny, typically used as a personal name.
-
B.
Kijitonyama
Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
-
C.
Naku Tanti
Naku Tanti is a celebrated literary work by the renowned Kannada poet D. R. Bendre, recognized as one of his most important contributions to modern Kannada poetry.
-
D.
Kugu Uwanh
Kugu Uwanh is an Aboriginal Australian language traditionally spoken by the Kugu people of western Cape York Peninsula in Queensland.
-
E.
N'Kono
N'Kono is the surname of Thomas N'Kono, a renowned Cameroonian former goalkeeper considered one of Africa's greatest footballers.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abcb1db708190867a631a29583908 |
completed | May 18, 2026, 7:16 a.m. |
| NEDg | Description generation | batch_6a0abdfae68c81909445ae82412f35c4 |
completed | May 18, 2026, 7:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf0bf9f88190baa7f6d55a8d9095 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:41 p.m.