Triple

T15699678
Position Surface form Disambiguated ID Type / Status
Subject Lara Flynn Boyle E380561 entity
Predicate notableWork P4 FINISHED
Object Happiness E604189 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: Happiness | Statement: [Lara Flynn Boyle, notableWork, Happiness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happiness
Context triple: [Lara Flynn Boyle, notableWork, Happiness]
  • A. Happiness chosen
    "Happiness" is a 1998 dark comedy-drama film written and directed by Todd Solondz that explores the intertwined lives of several deeply troubled suburban characters.
  • B. Happiness
    Happiness is a 2013 American documentary film directed by Thomas Balmès that follows a young Bhutanese monk experiencing modern technology and urban life for the first time.
  • C. Happiness
    "Happiness" is a notable creative work by Pizzaman, best known as an upbeat, dance-oriented track from the mid-1990s electronic music scene.
  • D. Happiness
    "Happiness" is an early indie-folk album by The Weepies that helped establish their gentle, melodic songwriting and intimate acoustic sound.
  • E. Happiness
    "Happiness" is a poem by Carl Sandburg that reflects his characteristic free-verse style and focus on everyday American life and emotions.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6d71308190971c10c599da9645 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75756ecc8190bd2123ddfd080fd1 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.