Triple
T11735435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Tegh Bahadur |
E279013
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mata Gujri |
E276332
|
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: Mata Gujri | Statement: [Guru Tegh Bahadur, spouse, Mata Gujri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mata Gujri Context triple: [Guru Tegh Bahadur, spouse, Mata Gujri]
-
A.
Mata Gujri
chosen
Mata Gujri was a revered Sikh matriarch and historical figure, best known as the mother of Guru Gobind Singh and grandmother of the four Sahibzadas who were martyred for the Sikh faith.
-
B.
Ganjami
Ganjami is a regional dialect of the Odia language spoken primarily in the Ganjam region of Odisha, India.
-
C.
Firaq Gorakhpuri
Firaq Gorakhpuri was a renowned Indian Urdu poet, critic, and scholar celebrated for his lyrical ghazals and significant contribution to modern Urdu literature.
-
D.
Mayurkhandi
Mayurkhandi is an early historic town in India that once served as a former capital of the Rashtrakuta dynasty.
-
E.
Kaidhi (Kaithi)
Kaidhi (Kaithi) is a critically acclaimed Tamil action thriller film known for its intense, single-night narrative and direction by Lokesh Kanagaraj.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0199f595081908c10ecd7dd3900e7 |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.