Triple

T17045565
Position Surface form Disambiguated ID Type / Status
Subject Michael Gruskoff E413558 entity
Predicate notableWork P4 FINISHED
Object Young Frankenstein E157743 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: Young Frankenstein | Statement: [Michael Gruskoff, notableWork, Young Frankenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young Frankenstein
Context triple: [Michael Gruskoff, notableWork, Young Frankenstein]
  • A. Young Frankenstein chosen
    Young Frankenstein is a 1974 comedy horror film directed by Mel Brooks that parodies classic Universal monster movies, starring Gene Wilder as the grandson of the infamous Dr. Frankenstein.
  • B. Son of Frankenstein
    Son of Frankenstein is a 1939 Universal horror film that continues the Frankenstein saga, following the son of the original doctor as he revives the Monster with disastrous results.
  • C. House of Frankenstein
    House of Frankenstein is a 1944 Universal Pictures horror film that brings together several of the studio’s classic monsters, including Dracula, the Wolf Man, and Frankenstein’s monster, in a single crossover story.
  • D. Abbott and Costello Meet Frankenstein
    Abbott and Costello Meet Frankenstein is a 1948 horror-comedy film that pairs the famous comedy duo with Universal’s classic movie monsters, including Dracula, Frankenstein’s monster, and the Wolf Man.
  • E. Blankenstein
    Blankenstein is a historic district of the town of Hattingen in North Rhine-Westphalia, Germany, known for its medieval castle and picturesque setting along the Ruhr River.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9d7e988190a5e3991c7123f9b0 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233cd3d48190b002951881ef670b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.