Triple

T499221
Position Surface form Disambiguated ID Type / Status
Subject Shakespeare in Love E10362 entity
Predicate screenwriter P2831 FINISHED
Object Marc Norman E62616 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: Marc Norman | Statement: [Shakespeare in Love, screenwriter, Marc Norman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Norman
Context triple: [Shakespeare in Love, screenwriter, Marc Norman]
  • A. Marc Norman chosen
    Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
  • B. Jonathan King
    Jonathan King is a British singer-songwriter, record producer, and former music industry figure known for his 1960s pop hits and later controversial legal troubles.
  • C. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • D. Alan Webber
    Alan Webber is an American politician and former business magazine co-founder who serves as the mayor of Santa Fe, New Mexico.
  • E. John Merrill
    John Merrill was an American architect best known as a co-founder of the influential international architecture and engineering firm Skidmore, Owings & Merrill.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f119b14c8190a5a6b119579c2682 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4984d3a4881909b4bec4c9b7dcd03 completed March 1, 2026, 7:49 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.