Triple

T14412873
Position Surface form Disambiguated ID Type / Status
Subject There's Something About Mary E357374 entity
Predicate producer P490 FINISHED
Object Charles B. Wessler 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: Charles B. Wessler | Statement: [There's Something About Mary, producer, Charles B. Wessler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles B. Wessler
Context triple: [There's Something About Mary, producer, Charles B. Wessler]
  • A. Charles B. Wessler chosen
    Charles B. Wessler is an American film producer best known for his work on the Academy Award–winning film "Green Book" and various successful comedies.
  • B. Charles K. Feldman
    Charles K. Feldman was a prominent American film producer and talent agent known for shaping major Hollywood projects and representing high-profile stars during the mid-20th century.
  • C. Robert F. Bacher
    Robert F. Bacher was an American nuclear physicist and key leader in the Manhattan Project who later became a prominent figure in U.S. science policy and administration.
  • D. Charles Weinstock
    Charles Weinstock is a film producer best known for his work on the crime thriller movie "Fracture."
  • E. Allen G. Siegler
    Allen G. Siegler was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood films.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
Created at: April 10, 2026, 1:17 a.m.