Triple

T464642
Position Surface form Disambiguated ID Type / Status
Subject Ginger Rogers E8417 entity
Predicate notableWork P4 FINISHED
Object Follow the Fleet E43826 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: Follow the Fleet | Statement: [Ginger Rogers, notableWork, Follow the Fleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Follow the Fleet
Context triple: [Ginger Rogers, notableWork, Follow the Fleet]
  • A. Follow the Fleet chosen
    Follow the Fleet is a 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, known for its dance sequences, romantic comedy plot, and classic Irving Berlin songs.
  • B. The Captain
    The Captain is the English translation of the Spanish name "El Capitan," famously associated with the iconic granite monolith in Yosemite National Park.
  • C. Der Scutt
    Der Scutt was an American architect best known for designing prominent New York City skyscrapers, most notably Trump Tower on Fifth Avenue.
  • D. Bluewater
    Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
  • E. Battle off Cape Engaño
    The Battle off Cape Engaño was a World War II naval engagement in October 1944 in which U.S. carrier forces decimated a Japanese decoy carrier group during the larger Battle of Leyte Gulf.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd5b6b48190ae23968135cf6417 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a45800a3848190b68db07055a6135b completed March 1, 2026, 3:15 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.