Triple
T23148058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teri Ore |
E578247
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object |
Mayur Puri
Mayur Puri is an Indian screenwriter, lyricist, and filmmaker known for his work on popular Bollywood films and songs.
|
E1575637
|
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: Mayur Puri | Statement: [Teri Ore, lyricist, Mayur Puri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayur Puri Context triple: [Teri Ore, lyricist, Mayur Puri]
-
A.
Mayur Vihar
Mayur Vihar is a residential neighborhood in East Delhi, India, known for its planned housing complexes and connectivity to the rest of the city via the Delhi Metro.
-
B.
Mayura Park
Mayura Park is a historic water palace and garden complex in Mataram on the Indonesian island of Lombok, known for its scenic ponds and Balinese architectural features.
-
C.
Maitri Bagh
Maitri Bagh is a large zoological park and garden in Bhilai, India, known for its recreational lake, zoo, and landscaped greenery.
-
D.
Sayaji Baug
Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
-
E.
Nehru Park
Nehru Park is a large, popular public park in New Delhi known for its lush greenery, cultural events, and recreational spaces.
- 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: Mayur Puri Triple: [Teri Ore, lyricist, Mayur Puri]
Generated description
Mayur Puri is an Indian screenwriter, lyricist, and filmmaker known for his work on popular Bollywood films and songs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mayur Puri Target entity description: Mayur Puri is an Indian screenwriter, lyricist, and filmmaker known for his work on popular Bollywood films and songs.
-
A.
Mayur Vihar
Mayur Vihar is a residential neighborhood in East Delhi, India, known for its planned housing complexes and connectivity to the rest of the city via the Delhi Metro.
-
B.
Mayura Park
Mayura Park is a historic water palace and garden complex in Mataram on the Indonesian island of Lombok, known for its scenic ponds and Balinese architectural features.
-
C.
Maitri Bagh
Maitri Bagh is a large zoological park and garden in Bhilai, India, known for its recreational lake, zoo, and landscaped greenery.
-
D.
Sayaji Baug
Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
-
E.
Nehru Park
Nehru Park is a large, popular public park in New Delhi known for its lush greenery, cultural events, and recreational spaces.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecf9e9881908991ede784158f1e |
completed | April 29, 2026, 4:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30963b3c8190a4ffb48b03fbf77a |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c332f5ef08190ab7f6536eb719e04 |
completed | May 19, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c374ded1c8190b1d5c7a3ab521cf9 |
completed | May 19, 2026, 10:11 a.m. |
Created at: April 17, 2026, 4:01 p.m.