Triple

T14839743
Position Surface form Disambiguated ID Type / Status
Subject Joseph Howard E348927 entity
Predicate wrote P2831 FINISHED
Object Sister Act E62318 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: Sister Act | Statement: [Joseph Howard, wrote, Sister Act]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sister Act
Context triple: [Joseph Howard, wrote, Sister Act]
  • A. Sister Act chosen
    Sister Act is a popular 1992 musical comedy film in which Whoopi Goldberg plays a lounge singer who hides in a convent under witness protection, leading to comedic and musical chaos.
  • B. Sister Act 2: Back in the Habit
    Sister Act 2: Back in the Habit is a 1993 musical comedy film and sequel to Sister Act, following Whoopi Goldberg’s character as she returns to help teach and inspire a struggling Catholic school choir.
  • C. Sisters
    Sisters is a small, scenic city in Central Oregon known for its Western-themed downtown and proximity to outdoor recreation in the Cascade Mountains.
  • D. Sisters
    Sisters is a 1972 psychological horror-thriller film by Brian De Palma, known for its Hitchcockian style, split-screen techniques, and story of murderous twin sisters.
  • E. Sisters
    "Sisters" is a novel by Russian writer Alexei Tolstoy, best known as the first part of his epic trilogy depicting the upheavals of Russian society during the early 20th century.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fe89e88190912cd205feef85d3 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.