Triple

T3128659
Position Surface form Disambiguated ID Type / Status
Subject 22, A Million E65356 entity
Predicate coverArtDesigner P184 FINISHED
Object Eric Timothy Carlson E331845 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: Eric Timothy Carlson | Statement: [22, A Million, coverArtDesigner, Eric Timothy Carlson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Timothy Carlson
Context triple: [22, A Million, coverArtDesigner, Eric Timothy Carlson]
  • A. Eric Carlson chosen
    Eric Carlson is a notable individual whose name is shared with multiple public figures, including professionals in fields such as architecture and music.
  • B. Timothy Carlson
    Timothy Carlson is an individual notable enough to be recognized as a namesake of the surname Carlson, though specific widely known achievements or roles are not clearly established.
  • C. Chris Carlson
    Chris Carlson is a notable individual recognized for achievements significant enough to distinguish the name Carlson in public records or discourse.
  • D. Ben Carlson
    Ben Carlson is a financial writer and portfolio manager known for his blog and books on investing and personal finance.
  • E. Christopher Tellefsen
    Christopher Tellefsen is an American film editor known for his work on acclaimed movies such as "A Quiet Place," "Moneyball," and "Capote."
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada548123c8190bcfe780c65941585 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354528b00819095fa9b8f28f2135c completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:04 p.m.