Triple
T8482129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Coming Wave |
E200544
|
entity |
| Predicate | workOf |
P4
|
FINISHED |
| Object | Michael Bhaskar |
E736772
|
NE FINISHED |
How this triple was built (2 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: Michael Bhaskar | Statement: [The Coming Wave, workOf, Michael Bhaskar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Bhaskar Context triple: [The Coming Wave, workOf, Michael Bhaskar]
-
A.
Michael Bhaskar
chosen
Michael Bhaskar is a British writer, publisher, and technology theorist known for his work on the impact of digital innovation and artificial intelligence on society and the future.
-
B.
Jay Chaudhry
Jay Chaudhry is an Indian-American entrepreneur and billionaire best known as the founder and CEO of the cloud security company Zscaler.
-
C.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
D.
Akshay Tandon
Akshay Tandon is an Indian businessman and sports executive best known for his ownership and leadership role with Indian Super League football club FC Goa.
-
E.
Sam Joshi
Sam Joshi is an American politician who serves as the mayor of Edison Township, New Jersey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53638c48190b742fc51d1b4442a |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d0a3abc8190a6fde29e728f15fe |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:12 p.m.