Triple

T482584
Position Surface form Disambiguated ID Type / Status
Subject Tim Wu E9802 entity
Predicate name P16 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: [Tim Wu, name, Tim Wu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Wu
Context triple: [Tim Wu, name, 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. 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.
  • C. Cass Sunstein
    Cass Sunstein is an American legal scholar and Harvard Law professor known for his influential work on constitutional law, behavioral economics, and public policy, including the concept of "nudge."
  • D. Michael S. Barr
    Michael S. Barr is an American legal scholar and policymaker who serves as a key U.S. financial regulator, overseeing banking supervision and financial stability at the Federal Reserve.
  • E. Jeff Gitelman
    Jeff Gitelman is a Grammy-nominated guitarist, songwriter, and record producer known for his work with major artists across R&B, pop, and hip-hop.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f05a7f6c819082b4a5a3e69468a6 completed Feb. 28, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69a46c622e648190b6d687fb8efa2123 completed March 1, 2026, 4:42 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.