Triple
T22433125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Vinglish |
E554546
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Navika Kotia
Navika Kotia is an Indian child actress known for her role in the film "English Vinglish" and appearances in Hindi television serials.
|
E1536416
|
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: Navika Kotia | Statement: [English Vinglish, starring, Navika Kotia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navika Kotia Context triple: [English Vinglish, starring, Navika Kotia]
-
A.
Kaiya
Kaiya is a feminine given name used in various cultures, often associated with meanings related to the sea, forgiveness, or purity.
-
B.
Navinna
Navinna is a locality in Sri Lanka that falls under the administrative area of the Maharagama Divisional Secretariat in the Western Province.
-
C.
Vasusena
Vasusena is the original birth name of Karna, a central warrior figure in the Indian epic Mahabharata.
-
D.
Suisei
Suisei was a World War II-era Japanese dive bomber aircraft, formally designated the Yokosuka D4Y and used primarily by the Imperial Japanese Navy.
-
E.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
- 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: Navika Kotia Triple: [English Vinglish, starring, Navika Kotia]
Generated description
Navika Kotia is an Indian child actress known for her role in the film "English Vinglish" and appearances in Hindi television serials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Navika Kotia Target entity description: Navika Kotia is an Indian child actress known for her role in the film "English Vinglish" and appearances in Hindi television serials.
-
A.
Kaiya
Kaiya is a feminine given name used in various cultures, often associated with meanings related to the sea, forgiveness, or purity.
-
B.
Navinna
Navinna is a locality in Sri Lanka that falls under the administrative area of the Maharagama Divisional Secretariat in the Western Province.
-
C.
Vasusena
Vasusena is the original birth name of Karna, a central warrior figure in the Indian epic Mahabharata.
-
D.
Suisei
Suisei was a World War II-era Japanese dive bomber aircraft, formally designated the Yokosuka D4Y and used primarily by the Imperial Japanese Navy.
-
E.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0f90f5881908f0011690cb0f1e4 |
completed | May 18, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_6a0af268db2881908706641ad1e41f79 |
completed | May 18, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:47 p.m.