Triple

T11383296
Position Surface form Disambiguated ID Type / Status
Subject Pan Am Building E269650 entity
Predicate hasTenant P3277 FINISHED
Object MetLife E328201 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: MetLife | Statement: [Pan Am Building, hasTenant, MetLife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MetLife
Context triple: [Pan Am Building, hasTenant, MetLife]
  • A. MetLife
    MetLife is a major American insurance and financial services company best known for providing life, dental, disability, and other insurance products worldwide.
  • B. New York Life Insurance Company
    New York Life Insurance Company is one of the largest and oldest mutual life insurance companies in the United States, offering a range of insurance and financial products.
  • C. Metropolitan Life Insurance Company chosen
    Metropolitan Life Insurance Company is a major American insurance firm historically known for its large-scale real estate developments and prominent role in the U.S. financial services industry.
  • D. Liberty National Life Insurance Company
    Liberty National Life Insurance Company is a U.S.-based life and supplemental health insurance provider operating as a subsidiary of Globe Life.
  • E. Prudential
    Prudential is an underground light rail station on Boston's MBTA Green Line, serving the Back Bay area near the Prudential Center complex.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8025744819091312adddeb75347 completed April 20, 2026, 5:22 a.m.
Created at: April 8, 2026, 9:34 p.m.