Triple
T22292267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court |
E551026
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Geetanjali Kulkarni
Geetanjali Kulkarni is an Indian actress acclaimed for her powerful performances in independent and parallel cinema, particularly in Marathi and Hindi films.
|
E1528861
|
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: Geetanjali Kulkarni | Statement: [Court, starring, Geetanjali Kulkarni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geetanjali Kulkarni Context triple: [Court, starring, Geetanjali Kulkarni]
-
A.
Namita Sinha
Namita Sinha is an actress known for her role in the Bengali film "Harano Sur."
-
B.
Namita Gokhale
Namita Gokhale is an Indian writer, publisher, and literary curator best known for her novels and for shaping contemporary literary culture in India.
-
C.
Vyjayanti Iyer
Vyjayanti Iyer is a central character in the 1993 Hindi romantic comedy film "Hum Hain Rahi Pyar Ke," known for her spirited and endearing role in the story.
-
D.
Kiran Nagarkar
Kiran Nagarkar was an acclaimed Indian novelist, playwright, and screenwriter known for his innovative, multilingual works such as "Cuckold" and "Ravan and Eddie."
-
E.
Ambriti Salve
Ambriti Salve is known as the daughter of prominent Indian jurist and senior advocate Harish Salve.
- 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: Geetanjali Kulkarni Triple: [Court, starring, Geetanjali Kulkarni]
Generated description
Geetanjali Kulkarni is an Indian actress acclaimed for her powerful performances in independent and parallel cinema, particularly in Marathi and Hindi films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geetanjali Kulkarni Target entity description: Geetanjali Kulkarni is an Indian actress acclaimed for her powerful performances in independent and parallel cinema, particularly in Marathi and Hindi films.
-
A.
Namita Sinha
Namita Sinha is an actress known for her role in the Bengali film "Harano Sur."
-
B.
Namita Gokhale
Namita Gokhale is an Indian writer, publisher, and literary curator best known for her novels and for shaping contemporary literary culture in India.
-
C.
Vyjayanti Iyer
Vyjayanti Iyer is a central character in the 1993 Hindi romantic comedy film "Hum Hain Rahi Pyar Ke," known for her spirited and endearing role in the story.
-
D.
Kiran Nagarkar
Kiran Nagarkar was an acclaimed Indian novelist, playwright, and screenwriter known for his innovative, multilingual works such as "Cuckold" and "Ravan and Eddie."
-
E.
Ambriti Salve
Ambriti Salve is known as the daughter of prominent Indian jurist and senior advocate Harish Salve.
- 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.