Triple

T11319471
Position Surface form Disambiguated ID Type / Status
Subject Agnes of God E268053 entity
Predicate editor 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: [Agnes of God, editor, Peter E. Berger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter E. Berger
Context triple: [Agnes of God, editor, 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525e2549081909ec99e4c7006fd66 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.