Triple

T3407913
Position Surface form Disambiguated ID Type / Status
Subject Craig Bierko E71819 entity
Predicate name P16 FINISHED
Object Craig Bierko E71819 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: Craig Bierko | Statement: [Craig Bierko, name, Craig Bierko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Bierko
Context triple: [Craig Bierko, name, Craig Bierko]
  • A. Craig Bierko chosen
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • B. Justin Raisen
    Justin Raisen is an American record producer and songwriter known for his work with a wide range of indie, pop, and alternative artists.
  • C. Mike Krieger
    Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
  • D. Ross Valory
    Ross Valory is an American bassist best known as a founding and longtime member of the rock band Journey, contributing to many of their classic albums and hits.
  • E. Brant Daugherty
    Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35468916c8190ba6caa2c53e01d9c completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.