Triple
T21254855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallikarjuna Swamy |
E523840
|
entity |
| Predicate | hasRitual |
P4193
|
FINISHED |
| Object | Archana |
—
|
NE NERFINISHED |
How this triple was built (3 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: Archana | Statement: [Mallikarjuna Swamy, hasRitual, Archana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Archana Context triple: [Mallikarjuna Swamy, hasRitual, Archana]
-
A.
Archana
Archana is the given first name of British actress Archie Panjabi, known for her roles in film and television such as "The Good Wife."
-
B.
Aparna
Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
-
C.
Aparna
Aparna is a central character in Jhumpa Lahiri’s short story “Hell-Heaven,” embodying themes of cultural displacement, unrequited love, and the complexities of the Indian immigrant experience in America.
-
D.
Anjali
Anjali is a critically acclaimed 1990 Indian Tamil-language drama film directed by Mani Ratnam, known for its sensitive portrayal of a child with a terminal illness and its emotional family narrative.
-
E.
Anjali
Anjali is a key supporting character in the 1992 Indian sports drama film "Jo Jeeta Wohi Sikandar," known for her close friendship and emotional support to the protagonist.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Archana Target entity description: Archana is a Hindu ritual of offering and chanting the names of a deity, typically performed with flowers or other offerings in a temple.
-
A.
Archana
Archana is the given first name of British actress Archie Panjabi, known for her roles in film and television such as "The Good Wife."
-
B.
Aparna
Aparna is a central character in Satyajit Ray’s film "Apur Sansar," portrayed as Apu’s wife whose relationship with him profoundly shapes the emotional core of the story.
-
C.
Aparna
Aparna is a central character in Jhumpa Lahiri’s short story “Hell-Heaven,” embodying themes of cultural displacement, unrequited love, and the complexities of the Indian immigrant experience in America.
-
D.
Anjali
Anjali is a critically acclaimed 1990 Indian Tamil-language drama film directed by Mani Ratnam, known for its sensitive portrayal of a child with a terminal illness and its emotional family narrative.
-
E.
Anjali
Anjali is a key supporting character in the 1992 Indian sports drama film "Jo Jeeta Wohi Sikandar," known for her close friendship and emotional support to the protagonist.
- F. None of above. chosen
Provenance (2 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a0e7dc8190b591b5b6786ce619 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:57 p.m.