Triple

T14018382
Position Surface form Disambiguated ID Type / Status
Subject Dangerous Passage E337258 entity
Predicate starring P1507 FINISHED
Object Jack La Rue E456167 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: Jack La Rue | Statement: [Dangerous Passage, starring, Jack La Rue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack La Rue
Context triple: [Dangerous Passage, starring, Jack La Rue]
  • A. Jack La Rue chosen
    Jack La Rue was an American character actor best known for his tough-guy and villain roles in Hollywood films of the 1930s and 1940s.
  • B. Jack Gariss
    Jack Gariss was an American screenwriter best known for his work on major mid-20th-century Hollywood films, including contributing to the script of Cecil B. DeMille’s epic "The Ten Commandments" (1956).
  • C. Jack Heuer
    Jack Heuer is a Swiss watchmaker and former head of TAG Heuer, best known for modernizing the brand and creating iconic chronograph designs.
  • D. Jack Feore
    Jack Feore is the son of Canadian-American actor Colm Feore.
  • E. Bruce Draine
    Bruce Draine is an American astrophysicist renowned for his work on interstellar dust, the interstellar medium, and radiative processes in galaxies.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f3b5b088190a58715779d2c46a6 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32d77108190b038e8a750738439 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.