Triple

T9450630
Position Surface form Disambiguated ID Type / Status
Subject Helen Mack E227878 entity
Predicate notableWork P4 FINISHED
Object College Humor E792177 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: College Humor | Statement: [Helen Mack, notableWork, College Humor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: College Humor
Context triple: [Helen Mack, notableWork, College Humor]
  • A. College Humor chosen
    College Humor is a 1933 American musical comedy film directed by Mark Sandrich and starring Bing Crosby, set around the antics and romances of college life.
  • B. Universitarios
    Universitarios is the traditional nickname for Club Universidad Nacional’s players and supporters, reflecting the club’s origins and identity as a university-affiliated football team.
  • C. The Harvard Lampoon
    The Harvard Lampoon is a long-running, student-run humor magazine at Harvard University known for its satirical writing and influential comedic alumni.
  • D. Campus Insiders
    Campus Insiders was a digital sports media network focused on college athletics, offering live games, highlights, and analysis across online and mobile platforms.
  • E. The College
    The College is the undergraduate liberal arts division of Washington and Lee University, offering a broad curriculum in the humanities, sciences, and social sciences.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12268429c8190bf2fd0f3ea4dac4a completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:51 p.m.