Triple

T3132588
Position Surface form Disambiguated ID Type / Status
Subject Caplin Pavilion E65448 entity
Predicate namedAfter P63 FINISHED
Object Mortimer Caplin E167375 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: Mortimer Caplin | Statement: [Caplin Pavilion, namedAfter, Mortimer Caplin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mortimer Caplin
Context triple: [Caplin Pavilion, namedAfter, Mortimer Caplin]
  • A. Mortimer Caplin chosen
    Mortimer Caplin was an American lawyer, law professor, and public official best known for serving as U.S. Commissioner of Internal Revenue under President John F. Kennedy.
  • B. Walter Pitman
    Walter Pitman was an American geophysicist and oceanographer known for his pioneering work on seafloor spreading and plate tectonics.
  • C. Selden Chapin
    Selden Chapin was an American diplomat and career Foreign Service officer who served in several key ambassadorial posts for the United States during the mid-20th century.
  • D. Mortimer Wilson
    Mortimer Wilson was an American composer and music educator best known for his orchestral scores for early silent films and concert works in the early 20th century.
  • E. Montgomery Brewster
    Montgomery Brewster is the hapless minor-league baseball player who must spend a vast inheritance under strict conditions in the comedy film "Brewster's Millions."
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada55f77b881908866fc43bdb18185 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224dcd1bc8190948b80c686d0e641 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.