Triple

T20386352
Position Surface form Disambiguated ID Type / Status
Subject Holy Matrimony E497965 entity
Predicate editedBy P1954 FINISHED
Object Peter E. Berger NE NERFINISHED

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: [Holy Matrimony, editedBy, Peter E. Berger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter E. Berger
Context triple: [Holy Matrimony, 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 (2 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790bcef481909453d19c846ab420 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.