Triple

T5741294
Position Surface form Disambiguated ID Type / Status
Subject License to Wed E126619 entity
Predicate editedBy P1954 FINISHED
Object Peter Teschner E112887 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: Peter Teschner | Statement: [License to Wed, editedBy, Peter Teschner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Teschner
Context triple: [License to Wed, editedBy, Peter Teschner]
  • A. Peter Teschner chosen
    Peter Teschner is a film editor known for his work on major Hollywood comedies, including the hit movie "Horrible Bosses."
  • B. Peter von Aspelt
    Peter von Aspelt was a prominent early 14th-century Archbishop of Mainz and influential statesman who played a key role in the politics of the Holy Roman Empire, including the election of multiple German kings.
  • C. Frank Teschemacher
    Frank Teschemacher was an influential early Chicago jazz clarinetist and saxophonist known for his role in shaping the Chicago style of the 1920s and early 1930s.
  • D. Peter Riegert
    Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
  • E. Peter Zinner
    Peter Zinner was an Austrian-born American film editor renowned for his work on major Hollywood films, including classics like The Deer Hunter and The Godfather.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf9968d881908ef4065d1d13b2b8 completed March 23, 2026, 4:20 a.m.
Created at: March 22, 2026, 3:48 p.m.