Triple
T19595000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shurpanakha |
E470328
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Kaikesi |
—
|
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: Kaikesi | Statement: [Shurpanakha, parent, Kaikesi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaikesi Context triple: [Shurpanakha, parent, Kaikesi]
-
A.
Kaikesi
chosen
Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
-
B.
Kiebu
Kiebu is the main settlement and administrative center of the island of Makin in Kiribati.
-
C.
Kiali
Kiali is an observability and management console for Istio-based service meshes, providing traffic visualization, configuration insight, and troubleshooting tools.
-
D.
Kasagi
Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
-
E.
Kantoi
"Kantoi" is a popular bilingual (Malay-English) acoustic pop song by Malaysian singer-songwriter Zee Avi that helped launch her to wider recognition.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640793cd88190b9b84491bfb2493f |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.