Triple
T19937256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. K. Stalin |
E479203
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Dayalu Ammal |
—
|
NE NERFINISHED |
How this triple was built (2 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: Dayalu Ammal | Statement: [M. K. Stalin, mother, Dayalu Ammal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dayalu Ammal Context triple: [M. K. Stalin, mother, Dayalu Ammal]
-
A.
Dayalu Ammal
chosen
Dayalu Ammal is an Indian political figure best known as the wife of former Tamil Nadu Chief Minister and Dravida Munnetra Kazhagam (DMK) leader M. Karunanidhi.
-
B.
Sabash Mapillai
Sabash Mapillai is an Indian Tamil-language film produced by AVM Productions, known for its blend of drama and entertainment typical of the studio’s commercial cinema.
-
C.
Jai Hind
Jai Hind is a patriotic Indian salutation and slogan closely associated with the Indian independence movement and national pride.
-
D.
Tere Naam
Tere Naam is a 2003 Hindi romantic drama film, best known for Salman Khan’s intense performance and its tragic love story.
-
E.
Deo Mir
Deo Mir is an alternative name for the Diamer region in northern Pakistan, known for its mountainous terrain and proximity to the western Himalayas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a17fb2c8190b3aaae88e741648a |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.