Triple
T22292264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court |
E551026
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Rikhav Desai
Rikhav Desai is an editor known for his work on the publication titled "Court."
|
E1529980
|
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: Rikhav Desai | Statement: [Court, editedBy, Rikhav Desai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rikhav Desai Context triple: [Court, editedBy, Rikhav Desai]
-
A.
Sagar Desai
Sagar Desai is an Indian film music composer known for his work on various Hindi movies and independent projects.
-
B.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
C.
Rahul Desai
Rahul Desai is a notable individual distinguished enough in his field or public life to be specifically recognized by name.
-
D.
Rasika Joshi
Rasika Joshi was an Indian actress known for her character roles in Hindi and Marathi films, television, and theatre.
-
E.
Sujan Raskhan
Sujan Raskhan is a notable literary work associated with the poet Raskhan, reflecting themes of devotion and love in the Bhakti tradition.
- 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: Rikhav Desai Triple: [Court, editedBy, Rikhav Desai]
Generated description
Rikhav Desai is an editor known for his work on the publication titled "Court."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rikhav Desai Target entity description: Rikhav Desai is an editor known for his work on the publication titled "Court."
-
A.
Sagar Desai
Sagar Desai is an Indian film music composer known for his work on various Hindi movies and independent projects.
-
B.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
C.
Rahul Desai
Rahul Desai is a notable individual distinguished enough in his field or public life to be specifically recognized by name.
-
D.
Rasika Joshi
Rasika Joshi was an Indian actress known for her character roles in Hindi and Marathi films, television, and theatre.
-
E.
Sujan Raskhan
Sujan Raskhan is a notable literary work associated with the poet Raskhan, reflecting themes of devotion and love in the Bhakti tradition.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acc91b5cc81909337a6ec1d311bbe |
completed | May 18, 2026, 8:23 a.m. |
| NEDg | Description generation | batch_6a0acd7bfb4c81909475874f808887c0 |
completed | May 18, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ace029b74819086a545100e8a8f8a |
completed | May 18, 2026, 8:29 a.m. |
Created at: April 16, 2026, 8:41 p.m.