Triple

T19562556
Position Surface form Disambiguated ID Type / Status
Subject USS Andrew Doria E489489 entity
Predicate flag P401 FINISHED
Object Continental Colors NE NERFINISHED

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: Continental Colors | Statement: [USS Andrew Doria, flag, Continental Colors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Continental Colors
Context triple: [USS Andrew Doria, flag, Continental Colors]
  • A. Continental Colors chosen
    Continental Colors is the early American national flag that combined British Union Jack elements with thirteen red and white stripes representing the original colonies.
  • B. Continental
    Continental is a major German automotive manufacturing company best known for producing tires, braking systems, and other vehicle components.
  • C. The Continental
    The Continental is a television series set in the John Wick universe that explores the origins and inner workings of the assassin-run hotel chain.
  • D. The Continental
    The Continental is a famous dance song that became widely known through its featured performance in the 1934 musical film "The Gay Divorcee."
  • E. Continental AV-1790
    The Continental AV-1790 is a large, air-cooled V12 tank engine widely used in post–World War II American armored vehicles, including early models of the M48 and M60 Patton tanks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f74fdb08190852461b5d5c954ac completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.