Triple
T15825980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandan Nandlal Kilachand |
E383742
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object |
Chandan
Chandan is the given name of Chandan Nandlal Kilachand, an individual likely known in a personal, professional, or public context.
|
E1180709
|
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: Chandan | Statement: [Chandan Nandlal Kilachand, hasGivenName, Chandan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandan Context triple: [Chandan Nandlal Kilachand, hasGivenName, Chandan]
-
A.
Chandrakant
Chandrakant is an Indian given name commonly used for men, derived from Sanskrit and often associated with the moon or “beloved of the moon.”
-
B.
Nandan
Nandan is the first name of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI).
-
C.
Bhanu
Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
-
D.
Bhanu
Bhanu is a notable town in Nepal’s Tanahun District, recognized as one of its key local urban centers.
-
E.
Chirag
Chirag is a Northeast Caucasian (Dargin) language variety spoken in parts of Dagestan, Russia.
- 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: Chandan Triple: [Chandan Nandlal Kilachand, hasGivenName, Chandan]
Generated description
Chandan is the given name of Chandan Nandlal Kilachand, an individual likely known in a personal, professional, or public context.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chandan Target entity description: Chandan is the given name of Chandan Nandlal Kilachand, an individual likely known in a personal, professional, or public context.
-
A.
Chandrakant
Chandrakant is an Indian given name commonly used for men, derived from Sanskrit and often associated with the moon or “beloved of the moon.”
-
B.
Nandan
Nandan is the first name of Nandan Nilekani, the Indian entrepreneur, co-founder of Infosys, and former chairman of the Unique Identification Authority of India (UIDAI).
-
C.
Bhanu
Bhanu is a locality in the Indian state of Haryana known for hosting the Basic Training Centre, a key military training facility.
-
D.
Bhanu
Bhanu is a notable town in Nepal’s Tanahun District, recognized as one of its key local urban centers.
-
E.
Chirag
Chirag is a Northeast Caucasian (Dargin) language variety spoken in parts of Dagestan, Russia.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e602e5481908baa71c3d9b2008f |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa135be84819084f7c20c2bc01b47 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa5623dd08190b7332d3aa4e90c18 |
completed | May 9, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5c23e6481908c9c1d1ca5253be4 |
completed | May 9, 2026, 9:23 p.m. |
Created at: April 10, 2026, 4:49 a.m.