Triple

T6959827
Position Surface form Disambiguated ID Type / Status
Subject Stephen Dorff E161341 entity
Predicate birthName P65 FINISHED
Object Stephen Hartley Dorff Jr. E161341 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: Stephen Hartley Dorff Jr. | Statement: [Stephen Dorff, birthName, Stephen Hartley Dorff Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Hartley Dorff Jr.
Context triple: [Stephen Dorff, birthName, Stephen Hartley Dorff Jr.]
  • A. Steve Dorff
    Steve Dorff is an American songwriter and composer known for his prolific work in country and pop music, including numerous hits for major recording artists and film and television scores.
  • B. Josh Levi
    Josh Levi is an American singer and actor known for his music career and for voicing a character in Pixar's animated film "Turning Red."
  • C. Stephen Frank
    Stephen Frank was an early American pioneer after whom the city of Frankfort, Kentucky, is named.
  • D. Jeffrey Ross Hyman
    Jeffrey Ross Hyman, better known as Joey Ramone, was the iconic lead vocalist of the pioneering punk rock band the Ramones.
  • E. Stephen Dorff chosen
    Stephen Dorff is an American actor known for his intense performances in films such as "Blade," "Somewhere," and numerous independent and genre movies.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daedbb4c8190b46846fb1265b937 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75893a4808190b94a70d8823a01d3 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.