Triple

T8619978
Position Surface form Disambiguated ID Type / Status
Subject Marcia Griffin E204137 entity
Predicate workedWith P398 FINISHED
Object Paul Hirsch E220421 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: Paul Hirsch | Statement: [Marcia Griffin, workedWith, Paul Hirsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Hirsch
Context triple: [Marcia Griffin, workedWith, Paul Hirsch]
  • A. Paul Hirsch chosen
    Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
  • B. Paul Hirsch
    Paul Hirsch was a German Social Democratic politician who briefly served as Minister President of Prussia during the early Weimar Republic.
  • C. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • D. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • E. Leonard Schrader
    Leonard Schrader was an American screenwriter and director known for his collaborations with his brother Paul Schrader and for writing acclaimed films such as "Kiss of the Spider Woman."
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc471458f48190a6d8858f8074727d completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef349d8408190bfd90a33a2d223bb completed April 2, 2026, 10:52 p.m.
Created at: March 30, 2026, 6:26 p.m.