Triple

T14509324
Position Surface form Disambiguated ID Type / Status
Subject Totally Under Control E340353 entity
Predicate title P38 FINISHED
Object Totally Under Control E340353 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: Totally Under Control | Statement: [Totally Under Control, title, Totally Under Control]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Totally Under Control
Context triple: [Totally Under Control, title, Totally Under Control]
  • A. Totally Under Control chosen
    Totally Under Control is a 2020 documentary film that critically examines the U.S. government's response to the COVID-19 pandemic.
  • B. Under Control
    "Under Control" is a song by the American experimental rock band Ego Death.
  • C. Takin' Control
    "Takin' Control" is a song featured on the Bow Wow album "This Ain't a Game."
  • D. Total Control
    Total Control is a critically acclaimed Australian television drama series starring Yo-Yo as a politically ambitious Indigenous woman navigating the complexities of national power and identity.
  • E. Total Control
    Total Control is a fast-paced thriller novel by David Baldacci that follows a woman uncovering a vast corporate and political conspiracy after her husband’s mysterious disappearance.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da26a308190bf86ed1edbe8d57e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.