Triple

T20248608
Position Surface form Disambiguated ID Type / Status
Subject Fear Street Part Three: 1666 E498489 entity
Predicate castMember P1668 FINISHED
Object Fred Hechinger 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: Fred Hechinger | Statement: [Fear Street Part Three: 1666, castMember, Fred Hechinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Hechinger
Context triple: [Fear Street Part Three: 1666, castMember, Fred Hechinger]
  • A. Fred Hechinger chosen
    Fred Hechinger is an American actor known for his roles in films and television series such as "The White Lotus," "Eighth Grade," and "The Woman in the Window."
  • B. Harry Stuhldreher
    Harry Stuhldreher was a prominent American college football quarterback best known as one of Notre Dame’s legendary “Four Horsemen” under coach Knute Rockne.
  • C. George Massenburg
    George Massenburg is an acclaimed American recording engineer, producer, and inventor renowned for his pioneering work in audio technology and studio production.
  • D. Fred Luddy
    Fred Luddy is an American entrepreneur and software executive best known as the founder of the cloud-based enterprise software company ServiceNow.
  • E. Frank Hagney
    Frank Hagney was an Australian-born character actor known for his numerous supporting roles in American films during the early to mid-20th century.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a5ce4081908dff86ed4c613fd6 completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:41 p.m.