Triple
T12459444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhagat Ramanand |
E297749
|
entity |
| Predicate | honorific |
P301
|
FINISHED |
| Object | Bhagat |
E93424
|
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: Bhagat | Statement: [Bhagat Ramanand, honorific, Bhagat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhagat Context triple: [Bhagat Ramanand, honorific, Bhagat]
-
A.
Bhagat
chosen
Bhagat is the given name of Bhagat Singh, the prominent Indian revolutionary and freedom fighter against British colonial rule.
-
B.
Bhagat Beni
Bhagat Beni was a medieval Indian saint and devotional poet whose hymns are included in the Sikh scripture Guru Granth Sahib, emphasizing spiritual devotion and inner realization of the Divine.
-
C.
Bhagat Pipa
Bhagat Pipa was a 15th-century Rajput saint and Bhakti poet whose devotional hymns are included in the Sikh scripture, the Guru Granth Sahib.
-
D.
Bhagat Dhanna
Bhagat Dhanna was a 15th-century Hindu saint and devotional poet revered in Sikhism, whose hymns are included in the Guru Granth Sahib.
-
E.
Bhagats
Bhagats are revered medieval Indian devotional poets and saints whose hymns are included in the Guru Granth Sahib, reflecting a broad, inclusive spiritual tradition.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da46a588190bc888fafd6d1eb5d |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1d4f248190a0805e17da42eaf7 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.