Triple
T22075882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naushad |
E545519
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Amar
Amar is a classic 1954 Hindi social drama film directed by Mehboob Khan, featuring music by Naushad and starring Dilip Kumar, Madhubala, and Nimmi.
|
E1518602
|
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: Amar | Statement: [Naushad, notableWork, Amar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amar Context triple: [Naushad, notableWork, Amar]
-
A.
Amar
Amar is the given name of Amar Bose, the American engineer and entrepreneur who founded Bose Corporation.
-
B.
Amar
Amar is a musical artist known for contributing featured vocals to tracks on Marilyn Manson’s album "Shock Value."
-
C.
Amar
Amar is a Hindi word meaning "immortal," commonly used in Indian names and memorial titles to signify eternal remembrance or undying spirit.
-
D.
Amar
Amar is a central character in the 2022 Indian action thriller film "Vikram," portrayed as a skilled and determined agent entangled in the film’s high-stakes conflict.
-
E.
Amares
Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
- 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: Amar Triple: [Naushad, notableWork, Amar]
Generated description
Amar is a classic 1954 Hindi social drama film directed by Mehboob Khan, featuring music by Naushad and starring Dilip Kumar, Madhubala, and Nimmi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amar Target entity description: Amar is a classic 1954 Hindi social drama film directed by Mehboob Khan, featuring music by Naushad and starring Dilip Kumar, Madhubala, and Nimmi.
-
A.
Amar
Amar is a central character in the 2022 Indian action thriller film "Vikram," portrayed as a skilled and determined agent entangled in the film’s high-stakes conflict.
-
B.
Amar
Amar is the given name of Amar Bose, the American engineer and entrepreneur who founded Bose Corporation.
-
C.
Amar
Amar is a musical artist known for contributing featured vocals to tracks on Marilyn Manson’s album "Shock Value."
-
D.
Amar
Amar is a Hindi word meaning "immortal," commonly used in Indian names and memorial titles to signify eternal remembrance or undying spirit.
-
E.
Amares
Amares is a municipality in northern Portugal known for its rural landscapes, historical churches, and proximity to the city of Braga in the Minho region.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b1904881909a1769ce8be39e05 |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8793a1ec8190977047d2c094845d |
completed | May 18, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_6a0a8a706f8481908e3c09c936948576 |
completed | May 18, 2026, 3:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a8aeed53c8190a261573a43a03929 |
completed | May 18, 2026, 3:43 a.m. |
Created at: April 16, 2026, 8:28 p.m.