Triple
T18474719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Lester |
E451398
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lolita Chakrabarti
Lolita Chakrabarti is a British actress and award-winning playwright known for works such as "Red Velvet" and "Life of Pi."
|
E1326657
|
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: Lolita Chakrabarti | Statement: [Adrian Lester, spouse, Lolita Chakrabarti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolita Chakrabarti Context triple: [Adrian Lester, spouse, Lolita Chakrabarti]
-
A.
Reeta Chakrabarti
Reeta Chakrabarti is a British journalist, newsreader, and correspondent best known for her work with BBC News.
-
B.
Anita Bhogle
Anita Bhogle is an Indian sports marketing professional, author, and co-founder of the consultancy Prosearch, known for her work on applying sports-based insights to business and leadership.
-
C.
Kamalini Chatterjee
Kamalini Chatterjee is the daughter of acclaimed Indian filmmaker and actress Aparna Sen.
-
D.
Meera Syal
Meera Syal is a British comedian, writer, playwright, and actress known for her work on "Goodness Gracious Me," "The Kumars at No. 42," and numerous stage and screen roles.
-
E.
Sarah Kameela Impey
Sarah Kameela Impey is a British actress best known for her leading role in the critically acclaimed comedy series "We Are Lady Parts."
- 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: Lolita Chakrabarti Triple: [Adrian Lester, spouse, Lolita Chakrabarti]
Generated description
Lolita Chakrabarti is a British actress and award-winning playwright known for works such as "Red Velvet" and "Life of Pi."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lolita Chakrabarti Target entity description: Lolita Chakrabarti is a British actress and award-winning playwright known for works such as "Red Velvet" and "Life of Pi."
-
A.
Reeta Chakrabarti
Reeta Chakrabarti is a British journalist, newsreader, and correspondent best known for her work with BBC News.
-
B.
Anita Bhogle
Anita Bhogle is an Indian sports marketing professional, author, and co-founder of the consultancy Prosearch, known for her work on applying sports-based insights to business and leadership.
-
C.
Kamalini Chatterjee
Kamalini Chatterjee is the daughter of acclaimed Indian filmmaker and actress Aparna Sen.
-
D.
Meera Syal
Meera Syal is a British comedian, writer, playwright, and actress known for her work on "Goodness Gracious Me," "The Kumars at No. 42," and numerous stage and screen roles.
-
E.
Sarah Kameela Impey
Sarah Kameela Impey is a British actress best known for her leading role in the critically acclaimed comedy series "We Are Lady Parts."
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53062387481909d4503fc963f9913 |
completed | April 19, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a043f2ae2888190ae12fee12cf419ff |
completed | May 13, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_6a043fd646b88190b0d232e740ae22ba |
completed | May 13, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04403951608190bc24c914175f18bc |
completed | May 13, 2026, 9:11 a.m. |
Created at: April 10, 2026, 11:34 a.m.