Triple

T15719048
Position Surface form Disambiguated ID Type / Status
Subject Holding Patterns E381039 entity
Predicate title P38 FINISHED
Object Holding Patterns E381039 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: Holding Patterns | Statement: [Holding Patterns, title, Holding Patterns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holding Patterns
Context triple: [Holding Patterns, title, Holding Patterns]
  • A. Holding Patterns chosen
    "Holding Patterns" is a music release by English actor and singer-songwriter Laurence Fox, showcasing his work as a recording artist.
  • B. Flightplan
    Flightplan is a 2005 psychological thriller film starring Jodie Foster as a mother whose daughter mysteriously disappears during a transatlantic flight.
  • C. Circling
    "Circling" is a song featured on the album *Higher Truth* by Chris Cornell.
  • D. Take-Offs and Landings
    "Take-Offs and Landings" is the debut full-length studio album by American indie rock band Rilo Kiley, noted for its introspective lyrics and melodic, guitar-driven sound.
  • E. Aviation Challenge
    Aviation Challenge is a space- and flight-themed camp program that immerses participants in aviation training simulations, teamwork exercises, and STEM-focused activities.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f932a248190b65ecfb2bc56e715 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75852cf88190be054160d5cbc675 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.