Triple
T20083942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thapar |
E500073
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Kiran Thapar
Kiran Thapar is an individual associated with the name Thapar, likely as a user or bearer of that name in a personal or professional context.
|
E1410759
|
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: Kiran Thapar | Statement: [Thapar, usedBy, Kiran Thapar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiran Thapar Context triple: [Thapar, usedBy, Kiran Thapar]
-
A.
Karan Thapar
Karan Thapar is a prominent Indian journalist and television interviewer known for his incisive and often hard-hitting political interviews.
-
B.
Bapsi F. Nariman
Bapsi F. Nariman is known as the wife of eminent Indian jurist Fali Nariman and a member of a prominent Parsi family in India.
-
C.
Yamini Roy
Yamini Roy is an Indian public figure known primarily as the wife of politician Varun Gandhi, a member of the Nehru–Gandhi family.
-
D.
B. K. Thapar
B. K. Thapar was an Indian archaeologist noted for his significant contributions to the study of the Indus Valley Civilization and other ancient South Asian cultures.
-
E.
Namita Gokhale
Namita Gokhale is an Indian writer, publisher, and literary curator best known for her novels and for shaping contemporary literary culture in India.
- 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: Kiran Thapar Triple: [Thapar, usedBy, Kiran Thapar]
Generated description
Kiran Thapar is an individual associated with the name Thapar, likely as a user or bearer of that name in a personal or professional context.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiran Thapar Target entity description: Kiran Thapar is an individual associated with the name Thapar, likely as a user or bearer of that name in a personal or professional context.
-
A.
Karan Thapar
Karan Thapar is a prominent Indian journalist and television interviewer known for his incisive and often hard-hitting political interviews.
-
B.
Bapsi F. Nariman
Bapsi F. Nariman is known as the wife of eminent Indian jurist Fali Nariman and a member of a prominent Parsi family in India.
-
C.
Yamini Roy
Yamini Roy is an Indian public figure known primarily as the wife of politician Varun Gandhi, a member of the Nehru–Gandhi family.
-
D.
B. K. Thapar
B. K. Thapar was an Indian archaeologist noted for his significant contributions to the study of the Indus Valley Civilization and other ancient South Asian cultures.
-
E.
Namita Gokhale
Namita Gokhale is an Indian writer, publisher, and literary curator best known for her novels and for shaping contemporary literary culture in India.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655a2d2c81908a6b8fd2f209a825 |
completed | April 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081f47b31c81908bdbb0f7758140bb |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a08209695e881908cb1afe6e17cd97d |
completed | May 16, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08245621948190a7ae6f5e25b08a10 |
completed | May 16, 2026, 8:01 a.m. |
Created at: April 11, 2026, 3:41 p.m.