Triple

T11661056
Position Surface form Disambiguated ID Type / Status
Subject Shrek Forever After E277118 entity
Predicate voiceActor P1507 FINISHED
Object Walt Dohrn E492279 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: Walt Dohrn | Statement: [Shrek Forever After, voiceActor, Walt Dohrn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walt Dohrn
Context triple: [Shrek Forever After, voiceActor, Walt Dohrn]
  • A. Walt Dohrn chosen
    Walt Dohrn is an American animator, voice actor, writer, and director best known for his creative leadership on DreamWorks Animation films such as the Trolls franchise.
  • B. George Ratterman
    George Ratterman was an American professional football quarterback who later became a prominent sports broadcaster and attorney.
  • C. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • D. Walter Scheib
    Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
  • E. Harold Huber
    Harold Huber was an American character actor known for his prolific work in 1930s and 1940s Hollywood films, often portraying suave or villainous supporting roles.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d29fdc8190af46b6e2badb1df5 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f61e33557c8190a724bb45c59abc63 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:39 p.m.