Triple
T20351581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aandhi |
E496023
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Om Shivpuri
Om Shivpuri was a prominent Indian film and theatre actor known for his powerful character roles and commanding screen presence in Hindi cinema of the 1970s and 1980s.
|
E1425075
|
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: Om Shivpuri | Statement: [Aandhi, starred, Om Shivpuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Om Shivpuri Context triple: [Aandhi, starred, Om Shivpuri]
-
A.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
-
B.
Udaipura
Udaipura is a town in the central Indian state of Madhya Pradesh, known for its location within the Raisen district and its role as a local administrative and market center.
-
C.
Bhuleshwar
Bhuleshwar is a densely populated, historic market and residential area in South Mumbai known for its traditional temples, jewelry and textile shops, and vibrant street life.
-
D.
Panchawati
Panchawati is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Singhwara
Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
- 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: Om Shivpuri Triple: [Aandhi, starred, Om Shivpuri]
Generated description
Om Shivpuri was a prominent Indian film and theatre actor known for his powerful character roles and commanding screen presence in Hindi cinema of the 1970s and 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Om Shivpuri Target entity description: Om Shivpuri was a prominent Indian film and theatre actor known for his powerful character roles and commanding screen presence in Hindi cinema of the 1970s and 1980s.
-
A.
Shivpuri
Shivpuri is a historic town and former princely state in central India, known for its forests, wildlife sanctuaries, and royal palaces.
-
B.
Udaipura
Udaipura is a town in the central Indian state of Madhya Pradesh, known for its location within the Raisen district and its role as a local administrative and market center.
-
C.
Bhuleshwar
Bhuleshwar is a densely populated, historic market and residential area in South Mumbai known for its traditional temples, jewelry and textile shops, and vibrant street life.
-
D.
Panchawati
Panchawati is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Singhwara
Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784f8ff48190a070888786f6a989 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086967aef88190b138be722f410e82 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869f7b4208190858fdeae882e008d |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a893f1c81909bc40e3c4db0e147 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:24 a.m.