Triple

T14585846
Position Surface form Disambiguated ID Type / Status
Subject Daveigh Chase E342312 entity
Predicate notableWork P4 FINISHED
Object Oliver Beene E702816 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: Oliver Beene | Statement: [Daveigh Chase, notableWork, Oliver Beene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver Beene
Context triple: [Daveigh Chase, notableWork, Oliver Beene]
  • A. Oliver Beene chosen
    Oliver Beene is an early-2000s American sitcom that nostalgically follows the misadventures of a quirky young boy growing up in 1960s New York.
  • B. Benjamin Busch
    Benjamin Busch is an American actor, writer, and former U.S. Marine Corps officer known for his roles in television series such as Generation Kill and The Wire.
  • C. Oliver Bokelberg
    Oliver Bokelberg is a cinematographer known for his work on feature films such as the 2007 drama "The Visitor."
  • D. Oliver Günther
    Oliver Günther is a German computer scientist and academic who serves as the president (rector) of the University of Potsdam.
  • E. Michael Beckmann
    Michael Beckmann is a composer and musician known for creating film scores, including the soundtrack for the romantic comedy "Love, Rosie."
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94bef27481908c108110dbf21780 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.