Triple
T4782097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaikeyi |
E106389
|
entity |
| Predicate | relationshipWith |
P10260
|
FINISHED |
| Object | Manthara |
E470317
|
NE FINISHED |
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: Manthara | Statement: [Kaikeyi, relationshipWith, Manthara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manthara Context triple: [Kaikeyi, relationshipWith, Manthara]
-
A.
Manthara
chosen
Manthara is a pivotal character in the Indian epic Ramayana, known as Queen Kaikeyi’s scheming maid whose manipulation leads to Rama’s exile.
-
B.
Maduraikāñci
Maduraikāñci is a classical Tamil poem from the Sangam era, renowned for its vivid portrayal of the city of Madurai, its society, and cultural life.
-
C.
Mihna
The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
-
D.
Nagamandala
Nagamandala is a traditional South Indian ritualistic performance and folk dance-drama centered on serpent worship, especially prevalent in the Tulu-speaking regions of Karnataka.
-
E.
Muthaiga
Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65abd0a08190937102c44d102f12 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d912f5c81909537b861dd0a4591 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:22 p.m.