Triple

T23295646
Position Surface form Disambiguated ID Type / Status
Subject Reba E590161 entity
Predicate composer P1361 FINISHED
Object Danny Lux NE NERFINISHED

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: Danny Lux | Statement: [Reba, composer, Danny Lux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danny Lux
Context triple: [Reba, composer, Danny Lux]
  • A. Danny Lux chosen
    Danny Lux is an American television and film composer known for scoring numerous popular series, including medical and crime dramas.
  • B. Clay Kaytis
    Clay Kaytis is an American film director and animator known for his work at Walt Disney Animation Studios and for co-directing the feature film adaptation of Angry Birds.
  • C. Joel Tobeck
    Joel Tobeck is a New Zealand actor known for his versatile character roles in film and television, including appearances in genre series like "Xena: Warrior Princess" and "Ash vs Evil Dead."
  • D. Derek Dreyer
    Derek Dreyer is a prominent computer scientist known for his work in programming languages, type theory, and formal verification.
  • E. Alex Groesbeck
    Alex Groesbeck was a Republican politician who served as the 30th governor of Michigan in the early 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196cec9e88190b83cfd53a6455e0f completed April 29, 2026, 5:27 a.m.
Created at: April 17, 2026, 5:03 p.m.