Triple
T16685737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satish Kaushik |
E405456
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tere Naam
Tere Naam is a 2003 Hindi romantic drama film, best known for Salman Khan’s intense performance and its tragic love story.
|
E1227461
|
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: Tere Naam | Statement: [Satish Kaushik, notableWork, Tere Naam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tere Naam Context triple: [Satish Kaushik, notableWork, Tere Naam]
-
A.
Waheguru
Waheguru is the supreme, formless God in Sikhism, revered as the ultimate, all-pervading divine being.
-
B.
Kirtan Sohila
Kirtan Sohila is a Sikh bedtime prayer composed of hymns from the Guru Granth Sahib, recited for protection, peace, and spiritual reflection before sleep.
-
C.
Saman Khuda
Saman Khuda was an 8th-century Persian nobleman and landowner whose descendants founded the Samanid dynasty, a major Iranian empire in Central Asia.
-
D.
Guru ka Langar
Guru ka Langar is the Sikh community kitchen tradition that serves free meals to all people regardless of background, embodying the principles of equality, service, and shared humanity.
-
E.
Mantram
Mantram is a collaborative ambient and shamanic trance music album featuring percussionist and producer Byron Metcalf.
- 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: Tere Naam Triple: [Satish Kaushik, notableWork, Tere Naam]
Generated description
Tere Naam is a 2003 Hindi romantic drama film, best known for Salman Khan’s intense performance and its tragic love story.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tere Naam Target entity description: Tere Naam is a 2003 Hindi romantic drama film, best known for Salman Khan’s intense performance and its tragic love story.
-
A.
Waheguru
Waheguru is the supreme, formless God in Sikhism, revered as the ultimate, all-pervading divine being.
-
B.
Kirtan Sohila
Kirtan Sohila is a Sikh bedtime prayer composed of hymns from the Guru Granth Sahib, recited for protection, peace, and spiritual reflection before sleep.
-
C.
Saman Khuda
Saman Khuda was an 8th-century Persian nobleman and landowner whose descendants founded the Samanid dynasty, a major Iranian empire in Central Asia.
-
D.
Guru ka Langar
Guru ka Langar is the Sikh community kitchen tradition that serves free meals to all people regardless of background, embodying the principles of equality, service, and shared humanity.
-
E.
Mantram
Mantram is a collaborative ambient and shamanic trance music album featuring percussionist and producer Byron Metcalf.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008ba8227881908b1ac6e30d2e7c32 |
completed | May 10, 2026, 1:44 p.m. |
Created at: April 10, 2026, 5:19 a.m.