Triple
T10367314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Life |
E244288
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Amita Dhiri
Amita Dhiri is a British actress best known for her role as Millie in the BBC television drama series "This Life."
|
E866499
|
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: Amita Dhiri | Statement: [This Life, mainCastMember, Amita Dhiri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amita Dhiri Context triple: [This Life, mainCastMember, Amita Dhiri]
-
A.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
B.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
C.
Reema Lagoo
Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
-
D.
Deepa Chatterjee
Deepa Chatterjee is best known as the wife of legendary Indian actor Soumitra Chatterjee, a prominent figure in Bengali cinema.
-
E.
Karuna Banerjee
Karuna Banerjee was an Indian actress best known for her poignant performances in Satyajit Ray’s classic films, particularly in the Apu Trilogy.
- 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: Amita Dhiri Triple: [This Life, mainCastMember, Amita Dhiri]
Generated description
Amita Dhiri is a British actress best known for her role as Millie in the BBC television drama series "This Life."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amita Dhiri Target entity description: Amita Dhiri is a British actress best known for her role as Millie in the BBC television drama series "This Life."
-
A.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
B.
Anuradha Banerjee
Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
-
C.
Reema Lagoo
Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
-
D.
Deepa Chatterjee
Deepa Chatterjee is best known as the wife of legendary Indian actor Soumitra Chatterjee, a prominent figure in Bengali cinema.
-
E.
Karuna Banerjee
Karuna Banerjee was an Indian actress best known for her poignant performances in Satyajit Ray’s classic films, particularly in the Apu Trilogy.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96fd6f081908f630a16106996d9 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc10284c8190bcce0f058b88ef0e |
completed | April 10, 2026, 11:16 a.m. |
| NEDg | Description generation | batch_69d8e50e618c8190a6b597fe511e05de |
completed | April 10, 2026, 11:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901c7684c8190837ed9ef0c2428af |
completed | April 10, 2026, 1:57 p.m. |
Created at: April 6, 2026, noon