Triple

T5863900
Position Surface form Disambiguated ID Type / Status
Subject Get On Your Boots E130339 entity
Predicate musicVideoDirector P4911 FINISHED
Object Alex Courtes E131217 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: Alex Courtes | Statement: [Get On Your Boots, musicVideoDirector, Alex Courtes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Courtes
Context triple: [Get On Your Boots, musicVideoDirector, Alex Courtes]
  • A. Alex Courtes chosen
    Alex Courtes is a French director and designer best known for his innovative music videos and visual work with major rock and electronic artists.
  • B. Aaron Courville
    Aaron Courville is a machine learning researcher and professor best known as a co-author of the influential deep learning textbook alongside Yoshua Bengio and Ian Goodfellow.
  • C. Ian La Frenais
    Ian La Frenais is a British screenwriter best known for co-creating classic TV comedies such as "Porridge" and "Auf Wiedersehen, Pet," and for his long-time writing partnership with Dick Clement.
  • D. Ryan Delahoussaye
    Ryan Delahoussaye is an American musician best known as the violinist and multi-instrumentalist for the alternative rock band Blue October.
  • E. Eric Gautier
    Eric Gautier is a French cinematographer renowned for his visually distinctive work on acclaimed international films and collaborations with prominent auteurs.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035bdd698819089ffe5256df492aa completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b10b55a88190b525405b1e20ea77 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:56 p.m.