Triple
T16235270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hari Anand Barari |
E394089
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Barari
Barari is an Indian surname associated with individuals such as the civil servant Hari Anand Barari.
|
E1215754
|
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: Barari | Statement: [Hari Anand Barari, familyName, Barari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barari Context triple: [Hari Anand Barari, familyName, Barari]
-
A.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
-
B.
Bithoor
Bithoor is a historic town in Uttar Pradesh, India, known for its religious significance on the banks of the Ganges and its prominent role in the Indian Rebellion of 1857.
-
C.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
-
D.
Margonda Raya
Margonda Raya is a main commercial and transportation artery in Depok, Indonesia, lined with shops, malls, campuses, and dense urban activity.
-
E.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, 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: Barari Triple: [Hari Anand Barari, familyName, Barari]
Generated description
Barari is an Indian surname associated with individuals such as the civil servant Hari Anand Barari.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barari Target entity description: Barari is an Indian surname associated with individuals such as the civil servant Hari Anand Barari.
-
A.
Daryapur
Daryapur is a town in the Amravati district of Maharashtra, India, known for its agricultural economy and regional market activities.
-
B.
Bithoor
Bithoor is a historic town in Uttar Pradesh, India, known for its religious significance on the banks of the Ganges and its prominent role in the Indian Rebellion of 1857.
-
C.
Umarkhed
Umarkhed is a town in the Yavatmal district of Maharashtra, India, known as a local commercial and administrative center for the surrounding rural region.
-
D.
Margonda Raya
Margonda Raya is a main commercial and transportation artery in Depok, Indonesia, lined with shops, malls, campuses, and dense urban activity.
-
E.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24559af48819092e4b466778b07e2 |
completed | April 17, 2026, 2:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3bd07c81909612f641796deef7 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a00530cfc648190a93006193b2cf265 |
completed | May 10, 2026, 9:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00542952c4819090bf4a2152cc8d6e |
completed | May 10, 2026, 9:47 a.m. |
Created at: April 10, 2026, 5:04 a.m.