Triple

T3066412
Position Surface form Disambiguated ID Type / Status
Subject The Object of My Affection E62113 entity
Predicate producer P490 FINISHED
Object Laurence Mark E184693 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: Laurence Mark | Statement: [The Object of My Affection, producer, Laurence Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurence Mark
Context triple: [The Object of My Affection, producer, Laurence Mark]
  • A. Laurence Mark chosen
    Laurence Mark is an American film and television producer known for projects such as "Jerry Maguire," "Dreamgirls," and numerous other major Hollywood productions.
  • B. Stephen Lipson
    Stephen Lipson is a British record producer, guitarist, and songwriter known for his work with artists such as Grace Jones, Annie Lennox, and Frankie Goes to Hollywood.
  • C. Philip Morrell
    Philip Morrell was a British Liberal Party politician and Member of Parliament in the early 20th century, known for his connections to the Bloomsbury Group through his wife, Ottoline Morrell.
  • D. Laurence Boone
    Laurence Boone is a French economist and diplomat who serves as France’s ambassador to the United States.
  • E. Lawrence Sher
    Lawrence Sher is an American cinematographer best known for his visually distinctive work on films such as Joker (2019) and The Hangover series.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fd87308190918e7b616f033faa completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef16cf2881908265dfe8a1e3424d completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.