Triple

T4985482
Position Surface form Disambiguated ID Type / Status
Subject Hammer Museum E111990 entity
Predicate foundedBy P104 FINISHED
Object Armand Hammer E202329 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: Armand Hammer | Statement: [Hammer Museum, foundedBy, Armand Hammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armand Hammer
Context triple: [Hammer Museum, foundedBy, Armand Hammer]
  • A. Armand Hammer chosen
    Armand Hammer was an American industrialist and longtime head of Occidental Petroleum, known for his extensive business dealings with the Soviet Union and prominent art collecting.
  • B. Solomon Loeb
    Solomon Loeb was a prominent 19th-century German-American banker and co-founder of the influential investment bank Kuhn, Loeb & Co.
  • C. A. W. Ross
    A. W. Ross was a real estate developer best known for transforming Los Angeles’s Wilshire Boulevard into the bustling Miracle Mile commercial district.
  • D. Preston Packard
    Preston Packard is a hardened U.S. Army lieutenant colonel and the main human antagonist in the film "Kong: Skull Island" within the King Kong franchise.
  • E. Charles Fleischmann
    Charles Fleischmann was a 19th-century entrepreneur and co-founder of the Fleischmann Yeast Company, which revolutionized commercial baking in the United States.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd725766d88190b6fda860a005ce4e completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be924f11c88190abe6263bf11b848c completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:33 p.m.