Triple

T12308461
Position Surface form Disambiguated ID Type / Status
Subject The Gun Runners E293413 entity
Predicate precededByFilmAdaptationOfSameNovel P104372 FINISHED
Object To Have and Have Not (1944 film) E60309 NE FINISHED

How this triple was built (3 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: To Have and Have Not (1944 film) | Statement: [The Gun Runners, precededByFilmAdaptationOfSameNovel, To Have and Have Not (1944 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: To Have and Have Not (1944 film)
Context triple: [The Gun Runners, precededByFilmAdaptationOfSameNovel, To Have and Have Not (1944 film)]
  • A. To Have and Have Not chosen
    To Have and Have Not is a 1937 novel by Ernest Hemingway that portrays a Depression-era fishing boat captain drawn into smuggling and moral conflict in Key West and Cuba.
  • B. The Treasure of the Sierra Madre
    The Treasure of the Sierra Madre is a 1948 American adventure-drama film directed by John Huston, renowned for its gritty portrayal of greed and moral decay among gold prospectors in Mexico.
  • C. The African Queen
    The African Queen is a classic 1951 adventure film directed by John Huston, best known for pairing Katharine Hepburn with Humphrey Bogart in a World War I–era river journey through German East Africa.
  • D. For Whom the Bell Tolls
    For Whom the Bell Tolls is Ernest Hemingway’s 1940 novel about an American fighting with the Republicans in the Spanish Civil War, renowned for its exploration of love, honor, and the brutality of war.
  • E. Casablanca
    Casablanca is a classic 1942 American romantic drama film set during World War II, renowned for its iconic performances, memorable dialogue, and enduring status as one of Hollywood’s greatest movies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: precededByFilmAdaptationOfSameNovel
Context triple: [The Gun Runners, precededByFilmAdaptationOfSameNovel, To Have and Have Not (1944 film)]
  • A. previousFilmAdaptationOfSamePlay
    Indicates that one film is an earlier screen adaptation of the same underlying play as another film.
  • B. isPrequelTo
    Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
  • C. prequelOrSequelTo
    Indicates that one work in a narrative series occurs earlier or later in the storyline or release order relative to another work, as its prequel or sequel.
  • D. laterAdaptedIn
    Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
  • E. isTelevisionAdaptationOf
    Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
  • F. None of above. chosen

Provenance (5 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8cf0e8819088f5ee03495bbf61 completed May 2, 2026, 7:07 p.m.
PD Predicate disambiguation batch_69d93ec02c008190a56aae60a3d9eff6 completed April 10, 2026, 6:17 p.m.
PDg Predicate description generation batch_69d93f607a88819089e89fd263ae9937 completed April 10, 2026, 6:20 p.m.
Created at: April 8, 2026, 9:53 p.m.