Triple
T22508754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goindwal |
E556459
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Guru Ram Das |
—
|
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: Guru Ram Das | Statement: [Goindwal, associatedWith, Guru Ram Das]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guru Ram Das Context triple: [Goindwal, associatedWith, Guru Ram Das]
-
A.
Guru Ram Das
chosen
Guru Ram Das was the fourth Sikh Guru, revered for his spiritual leadership and for laying the foundations of the city of Amritsar and its central shrine.
-
B.
Guru Arjan
Guru Arjan was the fifth Sikh Guru, renowned for compiling the Adi Granth (the core of the Guru Granth Sahib) and for his influential devotional poetry in Punjabi.
-
C.
Guru Amar Das
Guru Amar Das was the third Sikh Guru, known for strengthening the Sikh community through social reforms, promotion of equality, and extensive spiritual teachings later included in the Guru Granth Sahib.
-
D.
Guru Angad
Guru Angad was the second Sikh Guru, known for consolidating the Sikh community and promoting the Gurmukhi script as the primary medium for Sikh scripture and teachings.
-
E.
Guru Singh
Guru Singh is an actor best known for his role in the comedy film "Outsourced" and for appearances in various American television series.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ebe5881908a22d519128415f2 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.