Triple

T15311849
Position Surface form Disambiguated ID Type / Status
Subject Failure to Launch E366056 entity
Predicate title P38 FINISHED
Object Failure to Launch E366056 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: Failure to Launch | Statement: [Failure to Launch, title, Failure to Launch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Failure to Launch
Context triple: [Failure to Launch, title, Failure to Launch]
  • A. Failure to Launch chosen
    Failure to Launch is a 2006 romantic comedy film starring Matthew McConaughey and Sarah Jessica Parker about a man in his thirties who refuses to move out of his parents’ home.
  • B. Failer
    Failer is the critically acclaimed 2003 debut album by Canadian singer-songwriter Kathleen Edwards, known for its alt-country sound and vivid storytelling.
  • C. Upstart
    Upstart is an event-based init daemon developed for Linux systems to manage services and system startup and shutdown.
  • D. Crashout
    Crashout is a 1955 American film noir crime drama about a group of escaped convicts on a violent quest for hidden loot.
  • E. Apparent Failure
    "Apparent Failure" is a poem by Robert Browning that reflects on despair, death, and the seeming futility of life through the poet’s encounter with graves in a Paris cemetery.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a3da3881909b50cfbec0543adc completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.