Triple
T3449213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jayanegara |
E72752
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Indreswari |
E352756
|
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: Indreswari | Statement: [Jayanegara, mother, Indreswari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indreswari Context triple: [Jayanegara, mother, Indreswari]
-
A.
Ranggawuni
Ranggawuni was a 13th-century Javanese king of the Singhasari Kingdom, known for consolidating royal power and laying groundwork for the rise of later Javanese empires.
-
B.
Bambang
Bambang is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
C.
Jayendradewi
chosen
Jayendradewi was a queen consort of Raden Wijaya, the founder and first king of the Majapahit Empire in Java.
-
D.
Binodini
Binodini is the intelligent, complex, and emotionally conflicted young widow at the center of Rabindranath Tagore’s Bengali novel "Chokher Bali."
-
E.
Kusno
Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba71f4a4819089d08b871cc9b16f |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360eb7ad08190865e62228365d530 |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.