Triple

T20122751
Position Surface form Disambiguated ID Type / Status
Subject Tim Armstrong E490653 entity
Predicate name P16 FINISHED
Object Tim Armstrong NE NERFINISHED

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 Armstrong | Statement: [Tim Armstrong, name, Tim Armstrong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Armstrong
Context triple: [Tim Armstrong, name, Tim Armstrong]
  • A. Tim Armstrong chosen
    Tim Armstrong is an American musician, songwriter, and producer best known as the guitarist and frontman of the punk band Rancid and a key figure in the 1990s punk revival.
  • B. Tim Armstrong
    Tim Armstrong is an American businessman and media executive best known as the former CEO of AOL and a key figure in digital advertising and online media.
  • C. Larry the Cable Guy
    Larry the Cable Guy is an American stand-up comedian and actor best known for his blue-collar comedy persona and his role as Mater in the Disney-Pixar Cars film series.
  • D. Dan Bilzerian
    Dan Bilzerian is an American social media personality, professional poker player, and businessman known for his lavish lifestyle and frequent appearances in action films.
  • E. Baba Looey
    Baba Looey is a small, sombrero-wearing Mexican burro cartoon character who serves as the loyal and sensible sidekick in the Hanna-Barbera Western comedy series "Quick Draw McGraw."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673f5b4c8190bf9fb5f4e6b6a452 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:30 p.m.