Triple

T3174762
Position Surface form Disambiguated ID Type / Status
Subject Michael Arrington E66435 entity
Predicate name P16 FINISHED
Object Michael Arrington E66435 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 Arrington | Statement: [Michael Arrington, name, Michael Arrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Arrington
Context triple: [Michael Arrington, name, Michael Arrington]
  • A. Michael Arrington chosen
    Michael Arrington is an American entrepreneur, lawyer, and influential tech blogger best known as the founder of the technology news site TechCrunch.
  • B. Jeff Pagliocca
    Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
  • C. David Pescovitz
    David Pescovitz is a journalist and media innovator known for his work in technology, science, and culture, including his longtime role helping shape the influential online magazine Boing Boing.
  • D. Joshua Topolsky
    Joshua Topolsky is an American technology journalist and media entrepreneur best known as a co-founder and former editor-in-chief of The Verge and a prominent figure in online tech media.
  • E. Christian Stovitz
    Christian Stovitz is a stylish, charming new student and love interest in the 1995 teen comedy film "Clueless," known for his retro fashion sense and eventual revelation as gay.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada670c800819098937783e2b05c7a completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b66b3e081908e8ea11d9b36e50a completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.