Triple

T17896170
Position Surface form Disambiguated ID Type / Status
Subject Alec Berg E447436 entity
Predicate notableWork P4 FINISHED
Object EuroTrip 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: EuroTrip | Statement: [Alec Berg, notableWork, EuroTrip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuroTrip
Context triple: [Alec Berg, notableWork, EuroTrip]
  • A. Eurotrip chosen
    Eurotrip is a 2004 teen comedy film that follows a group of American friends on a chaotic and humorous journey across Europe.
  • B. United Travel Getaway
    United Travel Getaway was a New Zealand television travel show known for showcasing holiday destinations and experiences to local audiences.
  • C. Let’s Go Trippin’
    "Let’s Go Trippin’" is a pioneering early 1960s instrumental surf rock track widely regarded as one of the first surf music recordings.
  • D. Kusafiri
    Kusafiri is a World Association of Girl Guides and Girl Scouts World Centre that operates as a traveling hub for international Guiding events and leadership programs across Africa.
  • E. Mad Travelers
    Mad Travelers is a philosophical and historical study by Ian Hacking that examines cases of 19th-century "fugue" wanderers to explore how social and scientific contexts shape the classification of mental disorders.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8045748190a4e8c4684439a96b completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:19 a.m.