Triple

T16800963
Position Surface form Disambiguated ID Type / Status
Subject Morrow & Morrow E408350 entity
Predicate associatedPerson P2308 FINISHED
Object Irving Morrow E83873 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: Irving Morrow | Statement: [Morrow & Morrow, associatedPerson, Irving Morrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irving Morrow
Context triple: [Morrow & Morrow, associatedPerson, 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 (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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2c826808190aa0a5bfcde2e49a8 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28b77188190b8d87fca1b5dde5d completed May 10, 2026, 4:30 p.m.
Created at: April 10, 2026, 5:22 a.m.