Triple
T18599842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sundaresh Menon |
E454589
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sundaresh
Sundaresh is a male given name of Indian origin, notably borne by Singapore’s Chief Justice Sundaresh Menon.
|
E1333461
|
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: Sundaresh | Statement: [Sundaresh Menon, givenName, Sundaresh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sundaresh Context triple: [Sundaresh Menon, givenName, Sundaresh]
-
A.
Sundar
Sundar is the given name of Sundar Pichai, the Indian-American CEO of Alphabet Inc. and Google.
-
B.
Sunil
Sunil is an Indian actor known for his comedic and character roles in Telugu cinema, including a part in the film "Pushpa: The Rise."
-
C.
Suresh
Suresh is a gifted but troubled young origami prodigy in the play "Animals Out of Paper," whose talent and emotional struggles drive much of the story’s exploration of grief, connection, and healing.
-
D.
Rajagopala
Rajagopala is a Hindu deity regarded as a form of Lord Krishna, particularly venerated as the divine cowherd and king of Gokul.
-
E.
Nikhilesh
Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
- 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: Sundaresh Triple: [Sundaresh Menon, givenName, Sundaresh]
Generated description
Sundaresh is a male given name of Indian origin, notably borne by Singapore’s Chief Justice Sundaresh Menon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sundaresh Target entity description: Sundaresh is a male given name of Indian origin, notably borne by Singapore’s Chief Justice Sundaresh Menon.
-
A.
Sundar
Sundar is the given name of Sundar Pichai, the Indian-American CEO of Alphabet Inc. and Google.
-
B.
Sunil
Sunil is an Indian actor known for his comedic and character roles in Telugu cinema, including a part in the film "Pushpa: The Rise."
-
C.
Suresh
Suresh is a gifted but troubled young origami prodigy in the play "Animals Out of Paper," whose talent and emotional struggles drive much of the story’s exploration of grief, connection, and healing.
-
D.
Rajagopala
Rajagopala is a Hindu deity regarded as a form of Lord Krishna, particularly venerated as the divine cowherd and king of Gokul.
-
E.
Nikhilesh
Nikhilesh is the introspective, progressive zamindar whose emotional and ideological journey anchors Rabindranath Tagore’s novel "Ghare-Baire" ("The Home and the World").
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5475018548190a2f497081af7ce55 |
completed | April 19, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050381bacc81909f416e8b9910f046 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a0504ff8c6c8190a211b3f3e30229b4 |
completed | May 13, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505606bf88190afe635b2517d170b |
completed | May 13, 2026, 11:12 p.m. |
Created at: April 10, 2026, 11:45 a.m.