Triple

T3859729
Position Surface form Disambiguated ID Type / Status
Subject True Romance E90104 entity
Predicate followsCharacter P10688 FINISHED
Object Alabama Whitman E392236 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: Alabama Whitman | Statement: [True Romance, followsCharacter, Alabama Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alabama Whitman
Context triple: [True Romance, followsCharacter, Alabama Whitman]
  • A. Alabama Whitman chosen
    Alabama Whitman is a spirited, streetwise call girl-turned-loyal partner at the heart of the crime-romance film "True Romance."
  • B. Shelby Moore Cullom
    Shelby Moore Cullom was an American politician who served as governor of Illinois and later as a long-serving U.S. senator in the late 19th and early 20th centuries.
  • C. Virginia Dale
    Virginia Dale was an American film actress and dancer best known for her roles in 1940s Hollywood musicals and comedies.
  • D. Dixie Lee
    Dixie Lee was an American singer and actress of the early 20th century, best known for her work in film and music as well as her marriage to Bing Crosby.
  • E. Susan Wheeler Decatur
    Susan Wheeler Decatur was the wife of U.S. naval hero Stephen Decatur and a prominent early 19th-century Washington, D.C. social figure.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512348fe88190b5ae942809732b76 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.