Triple
T12270066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Master Switch |
E292447
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Tim Wu |
E9802
|
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: Tim Wu | Statement: [The Master Switch, author, Tim Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Wu Context triple: [The Master Switch, author, Tim Wu]
-
A.
Tim Wu
chosen
Tim Wu is a legal scholar and Columbia Law School professor best known for his influential work on technology policy, antitrust, and internet regulation.
-
B.
Michael B. Gerrard
Michael B. Gerrard is an American environmental lawyer and scholar known for his leadership in climate change law and policy.
-
C.
Yochai Benkler
Yochai Benkler is a legal scholar and theorist known for his work on commons-based peer production, open-source collaboration, and the political economy of the digital age.
-
D.
Lawrence Lessig
Lawrence Lessig is an American legal scholar and activist known for his work on copyright reform, internet freedom, and campaign finance, and as the founder of Creative Commons.
-
E.
Matthew O. Jackson
Matthew O. Jackson is an American economist renowned for his pioneering work on network theory and its applications to economics and game theory.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdea6e881908e13f8259bad6ddc |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6981b48190a0fc5a571c425be1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.