Triple

T13797672
Position Surface form Disambiguated ID Type / Status
Subject Star Trek: Insurrection E331557 entity
Predicate editedBy P1954 FINISHED
Object Peter E. Berger E268053 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 E. Berger | Statement: [Star Trek: Insurrection, editedBy, Peter E. Berger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter E. Berger
Context triple: [Star Trek: Insurrection, editedBy, Peter E. Berger]
  • A. Peter E. Berger chosen
    Peter E. Berger is a film editor best known for his work on movies such as "Agnes of God."
  • B. Peter Berger
    Peter Berger was an influential Austrian-born American sociologist and theologian best known for his work on the sociology of religion and the social construction of reality.
  • C. Robert N. Bellah
    Robert N. Bellah was an influential American sociologist of religion best known for his analyses of the moral and religious dimensions of modern society.
  • D. Herbert Blumer
    Herbert Blumer was an American sociologist best known for coining the term "symbolic interactionism" and significantly shaping the Chicago School of sociology.
  • E. Anselm Strauss
    Anselm Strauss was an American sociologist best known for co-developing grounded theory and for his influential work in symbolic interactionism and medical sociology.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025be1f08190aac525d72d7dc0c3 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b086d6d48190b823ed0a4403fbc5 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.