Triple

T6954992
Position Surface form Disambiguated ID Type / Status
Subject Contraband E161218 entity
Predicate starring P1507 FINISHED
Object Lukas Haas E47800 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: Lukas Haas | Statement: [Contraband, starring, Lukas Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lukas Haas
Context triple: [Contraband, starring, Lukas Haas]
  • A. Lukas Haas chosen
    Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
  • B. Lukas Heller
    Lukas Heller was a German-born British screenwriter best known for his work on psychological thrillers and film adaptations in the 1960s and 1970s.
  • C. Nicholas Braun
    Nicholas Braun is an American actor best known for his Emmy-nominated portrayal of Cousin Greg Hirsch on the HBO series "Succession."
  • D. Jonas Saur
    Jonas Saur was an early 17th-century printer known for producing Johannes Kepler’s influential astronomical work, the Rudolphine Tables.
  • E. Lucas Wolenczak
    Lucas Wolenczak is a gifted teenage computer prodigy and central character from the science fiction TV series "seaQuest DSV," known for his close bond with Captain Nathan Bridger aboard the high-tech submarine seaQuest.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.