Triple

T16058022
Position Surface form Disambiguated ID Type / Status
Subject Music Box E389532 entity
Predicate hasCastMember P2308 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: [Music Box, hasCastMember, Lukas Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lukas Haas
Context triple: [Music Box, hasCastMember, 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837634248190a99cc454ad1e99e0 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29836bc8190b35f528d3e8547be completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:57 a.m.