Triple

T19456037
Position Surface form Disambiguated ID Type / Status
Subject The Art of More E486734 entity
Predicate executiveProducer P7225 FINISHED
Object Laurence Mark 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: Laurence Mark | Statement: [The Art of More, executiveProducer, Laurence Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurence Mark
Context triple: [The Art of More, executiveProducer, 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. Geoffrey Massey
    Geoffrey Massey was a prominent Canadian architect known for his influential modernist designs, including major educational and civic projects in British Columbia.
  • C. Laurence Barnes
    Laurence Barnes, better known by his callsign "Prophet," is the nanosuit-enhanced super-soldier who serves as the central protagonist in the Crysis video game series.
  • D. Laurence Barnes
    Laurence Barnes is a religious figure known as the Prophet, regarded by followers as a divinely inspired messenger.
  • E. Lawrence Lacks
    Lawrence Lacks is the eldest son of Henrietta Lacks, whose immortal HeLa cells became foundational to modern biomedical research.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c2b1108190b492ca23487b91f8 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:38 p.m.