Triple
T6161908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Getting Married |
E137461
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Anisa George
Anisa George is an actress known for her role in the critically acclaimed drama film "Rachel Getting Married."
|
E574323
|
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: Anisa George | Statement: [Rachel Getting Married, starring, Anisa George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anisa George Context triple: [Rachel Getting Married, starring, Anisa George]
-
A.
Ritika Sajdeh
Ritika Sajdeh is an Indian sports manager and public figure best known for her association with prominent cricketers and her marriage to Indian cricket star Rohit Sharma.
-
B.
Nikita Gill
Nikita Gill is a contemporary British-Indian poet and writer known for her emotionally resonant, feminist poetry and modern retellings of myths and fairy tales.
-
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.
Salma Lakhani
Salma Lakhani is a Canadian businesswoman and philanthropist who became the first Muslim and first South Asian to serve as a lieutenant governor in Canada.
-
E.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
- 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: Anisa George Triple: [Rachel Getting Married, starring, Anisa George]
Generated description
Anisa George is an actress known for her role in the critically acclaimed drama film "Rachel Getting Married."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anisa George Target entity description: Anisa George is an actress known for her role in the critically acclaimed drama film "Rachel Getting Married."
-
A.
Ritika Sajdeh
Ritika Sajdeh is an Indian sports manager and public figure best known for her association with prominent cricketers and her marriage to Indian cricket star Rohit Sharma.
-
B.
Nikita Gill
Nikita Gill is a contemporary British-Indian poet and writer known for her emotionally resonant, feminist poetry and modern retellings of myths and fairy tales.
-
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.
Salma Lakhani
Salma Lakhani is a Canadian businesswoman and philanthropist who became the first Muslim and first South Asian to serve as a lieutenant governor in Canada.
-
E.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d371484819090c18b62b095b49e |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14199f024819089af02b1c0eebfad |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c1467ef4d48190b714823935318c0a |
completed | March 23, 2026, 1:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c146f59d9881908fdc6c0137f0ead7 |
completed | March 23, 2026, 1:58 p.m. |
Created at: March 22, 2026, 4:17 p.m.