Triple

T13354015
Position Surface form Disambiguated ID Type / Status
Subject Jobs E318140 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: [Jobs, starring, Lukas Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lukas Haas
Context triple: [Jobs, 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. Lukas Hosk
    Lukas Hosk is known as the brother of Swedish model and former Victoria’s Secret Angel Elsa Hosk.
  • D. Lucas Akoskin
    Lucas Akoskin is an Argentine film and television producer known for his work on international co-productions and for his marriage to actress Leonor Varela.
  • E. Christian Hebel
    Christian Hebel is an American violinist and concertmaster known for his work on Broadway productions, film scores, and live performances with prominent recording artists.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8d520881908aa23c7102b72b72 completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f49e5548190b14d09daea628e6b completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:32 p.m.