Triple
T15469815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A.P. Bio |
E372128
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
Aparna Brielle
Aparna Brielle is an American actress best known for her comedic role on the NBC sitcom "A.P. Bio."
|
E1161364
|
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: Aparna Brielle | Statement: [A.P. Bio, starredActor, Aparna Brielle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aparna Brielle Context triple: [A.P. Bio, starredActor, Aparna Brielle]
-
A.
Anvita Abbi
Anvita Abbi is an Indian linguist renowned for her pioneering work on the endangered languages of the Andaman Islands and other lesser-known South Asian languages.
-
B.
Arya Babbar
Arya Babbar is an Indian film and television actor known for his work in Hindi and Punjabi cinema.
-
C.
Eloise Gonsalves
Eloise Gonsalves is the wife of Ralph Gonsalves, the long-serving Prime Minister of Saint Vincent and the Grenadines.
-
D.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
-
E.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
- 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: Aparna Brielle Triple: [A.P. Bio, starredActor, Aparna Brielle]
Generated description
Aparna Brielle is an American actress best known for her comedic role on the NBC sitcom "A.P. Bio."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aparna Brielle Target entity description: Aparna Brielle is an American actress best known for her comedic role on the NBC sitcom "A.P. Bio."
-
A.
Anvita Abbi
Anvita Abbi is an Indian linguist renowned for her pioneering work on the endangered languages of the Andaman Islands and other lesser-known South Asian languages.
-
B.
Arya Babbar
Arya Babbar is an Indian film and television actor known for his work in Hindi and Punjabi cinema.
-
C.
Eloise Gonsalves
Eloise Gonsalves is the wife of Ralph Gonsalves, the long-serving Prime Minister of Saint Vincent and the Grenadines.
-
D.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
-
E.
Kanika Banerjee
Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3657972481909219bc040f674c02 |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff3a3d0fe88190bc40652d23bd5195 |
completed | May 9, 2026, 1:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3a97cc5081908a36ccfd939b6e66 |
completed | May 9, 2026, 1:45 p.m. |
Created at: April 10, 2026, 3:33 a.m.