Triple

T20681271
Position Surface form Disambiguated ID Type / Status
Subject Jeff Morrow E508298 entity
Predicate birthName P65 FINISHED
Object Irving Morrow 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: Irving Morrow | Statement: [Jeff Morrow, birthName, Irving Morrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irving Morrow
Context triple: [Jeff Morrow, birthName, Irving Morrow]
  • A. Irving Morrow chosen
    Irving Morrow was an American architect best known for designing the Art Deco elements and iconic International Orange color scheme of San Francisco’s Golden Gate Bridge.
  • B. Sidney Lippman
    Sidney Lippman was an American songwriter best known for co-writing the popular 1951 hit song "Too Young."
  • C. Irwin Shaw
    Irwin Shaw was an American playwright, screenwriter, and novelist best known for works such as "The Young Lions" and "Rich Man, Poor Man."
  • D. Samson Raphaelson
    Samson Raphaelson was an American playwright and screenwriter best known for his influential collaborations with director Ernst Lubitsch on classic Hollywood comedies.
  • E. Vera Caspary
    Vera Caspary was an American novelist, screenwriter, and playwright best known for her crime novel "Laura" and her influential work in mid-20th-century Hollywood cinema.
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea842dc81908106a0c29d1577aa completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.