Triple

T19080959
Position Surface form Disambiguated ID Type / Status
Subject The Tall Men E467029 entity
Predicate screenwriter P2831 FINISHED
Object Sydney Boehm 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: Sydney Boehm | Statement: [The Tall Men, screenwriter, Sydney Boehm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydney Boehm
Context triple: [The Tall Men, screenwriter, Sydney Boehm]
  • A. Sydney Boehm chosen
    Sydney Boehm was an American screenwriter known for his work on mid-20th-century Hollywood films, particularly in the crime and noir genres.
  • B. Jessica Boehrs
    Jessica Boehrs is a German actress and singer best known internationally for her role in the comedy film "EuroTrip" and as a former member of the Eurodance group Novaspace.
  • C. Leah Messer
    Leah Messer is an American reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom 2.
  • D. Kaylee Hottle
    Kaylee Hottle is a young American actress best known for her breakout role in the MonsterVerse film franchise, where she portrays Jia, a deaf orphan who communicates with King Kong.
  • E. Lauren Dolgen
    Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e8f8148190942cca6dd3e30caf completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.