Triple
T10612613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japji Sahib |
E276042
|
entity |
| Predicate | timeOfRecitation |
P1936
|
FINISHED |
| Object |
Amrit Vela
Amrit Vela is the pre-dawn period in Sikhism considered especially sacred for meditation, prayer, and spiritual practice.
|
E874855
|
NE FINISHED |
How this triple was built (4 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: Amrit Vela | Statement: [Japji Sahib, timeOfRecitation, Amrit Vela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amrit Vela Context triple: [Japji Sahib, timeOfRecitation, Amrit Vela]
-
A.
Savyasachi
Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
-
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.
Vivek
Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
-
D.
Vasanth
Vasanth is an Indian film director and screenwriter known for his work in Tamil cinema, often noted for his sensitive storytelling and character-driven narratives.
-
E.
Mita Vashisht
Mita Vashisht is an Indian film, television, and theatre actress known for her powerful character roles and performances in both mainstream and parallel cinema.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amrit Vela Triple: [Japji Sahib, timeOfRecitation, Amrit Vela]
Generated description
Amrit Vela is the pre-dawn period in Sikhism considered especially sacred for meditation, prayer, and spiritual practice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amrit Vela Target entity description: Amrit Vela is the pre-dawn period in Sikhism considered especially sacred for meditation, prayer, and spiritual practice.
-
A.
Savyasachi
Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
-
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.
Vivek
Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
-
D.
Vasanth
Vasanth is an Indian film director and screenwriter known for his work in Tamil cinema, often noted for his sensitive storytelling and character-driven narratives.
-
E.
Mita Vashisht
Mita Vashisht is an Indian film, television, and theatre actress known for her powerful character roles and performances in both mainstream and parallel cinema.
- F. None of above. chosen
Provenance (5 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5baf94819097b14a73af058f35 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ec61b388190adee9b3577567709 |
completed | April 10, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_69d95f824b3081908561f0d3748e3713 |
completed | April 10, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9600a29808190af583d2fd696ec6a |
completed | April 10, 2026, 8:39 p.m. |
Created at: April 8, 2026, 7:33 p.m.