Triple
T3614164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikh people |
E76559
|
entity |
| Predicate | symbol |
P129
|
FINISHED |
| Object | Ik Onkar |
E276043
|
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: Ik Onkar | Statement: [Sikh people, symbol, Ik Onkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ik Onkar Context triple: [Sikh people, symbol, Ik Onkar]
-
A.
Ik Onkar
chosen
Ik Onkar is the foundational Sikh spiritual symbol and mantra expressing the belief in one universal, formless God, central to the teachings of Guru Nanak.
-
B.
Pingali Surana
Pingali Surana was a prominent 16th-century Telugu poet and writer of the Vijayanagara era, renowned for his classical works such as "Kalapurnodayam."
-
C.
Nanak
Nanak is the given name of Guru Nanak, the 15th–16th century founder of Sikhism and its first Guru.
-
D.
Savyasachi
Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
-
E.
Suraj Sharma
Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc279f6948190b9655a4cf3e77d89 |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43316224081909372f1007becc663 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.