Triple

T725063
Position Surface form Disambiguated ID Type / Status
Subject Humphrey Bogart E14706 entity
Predicate notableWork P4 FINISHED
Object The African Queen E73334 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: The African Queen | Statement: [Humphrey Bogart, notableWork, The African Queen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The African Queen
Context triple: [Humphrey Bogart, notableWork, The African Queen]
  • A. The African Queen chosen
    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.
  • B. Mutiny on the Bounty
    Mutiny on the Bounty is a classic 1935 adventure drama film depicting the famous 18th-century naval mutiny aboard the HMS Bounty, widely known for its performances and enduring impact on seafaring cinema.
  • C. Casablanca
    Casablanca is Morocco’s largest city and economic hub, located on the Atlantic coast of North Africa and known for its major port and modern urban character.
  • D. 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.
  • E. Red Dust
    Red Dust is a 1932 American pre-Code romantic drama film starring Clark Gable and Jean Harlow, set on a rubber plantation in French Indochina.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a7fb7c819096db848fe2ba246a completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5c9d248190b0bebfd0e999643a completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.