Triple
T14486943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Balsara |
E359253
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Madison World
Madison World is an Indian advertising and communications agency group founded and led by prominent adman Sam Balsara.
|
E1100539
|
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: Madison World | Statement: [Sam Balsara, employer, Madison World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madison World Context triple: [Sam Balsara, employer, Madison World]
-
A.
Madison Park
Madison Park is a public recreational park located in Quincy, Illinois.
-
B.
Madison Park
Madison Park is a public recreational park located in Lakewood, Ohio, offering green space and outdoor amenities for community use.
-
C.
Madison Park
Madison Park is a historic residential neighborhood in central Baltimore, Maryland, known for its 19th-century rowhouses and proximity to the city’s cultural and educational institutions.
-
D.
Milpark
Milpark is an inner-city area of Johannesburg, South Africa, known for its proximity to major universities, hospitals, and cultural hubs like Braamfontein.
-
E.
Rivertowns
Rivertowns is an informal name for a group of historic, Hudson River–front villages and small cities in Westchester County, New York, known for their scenic waterfronts and commuter communities.
- 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: Madison World Triple: [Sam Balsara, employer, Madison World]
Generated description
Madison World is an Indian advertising and communications agency group founded and led by prominent adman Sam Balsara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madison World Target entity description: Madison World is an Indian advertising and communications agency group founded and led by prominent adman Sam Balsara.
-
A.
Madison Park
Madison Park is a public recreational park located in Quincy, Illinois.
-
B.
Madison Park
Madison Park is a public recreational park located in Lakewood, Ohio, offering green space and outdoor amenities for community use.
-
C.
Madison Park
Madison Park is a historic residential neighborhood in central Baltimore, Maryland, known for its 19th-century rowhouses and proximity to the city’s cultural and educational institutions.
-
D.
Milpark
Milpark is an inner-city area of Johannesburg, South Africa, known for its proximity to major universities, hospitals, and cultural hubs like Braamfontein.
-
E.
Rivertowns
Rivertowns is an informal name for a group of historic, Hudson River–front villages and small cities in Westchester County, New York, known for their scenic waterfronts and commuter communities.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924ee0f08190baf68318b41fa64d |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a925148190992101984895a20b |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd65ae2ef0819091c7576b9cfe5fe2 |
completed | May 8, 2026, 4:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd66476ab88190b2d410ced33ce34b |
completed | May 8, 2026, 4:27 a.m. |
Created at: April 10, 2026, 1:20 a.m.