Triple

T16021080
Position Surface form Disambiguated ID Type / Status
Subject Blue Sky E388597 entity
Predicate starring P1507 FINISHED
Object Amy Locane E1219104 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: Amy Locane | Statement: [Blue Sky, starring, Amy Locane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Locane
Context triple: [Blue Sky, starring, Amy Locane]
  • A. Amy Locane chosen
    Amy Locane is an American actress best known for her roles in the film "Cry-Baby" and the TV series "Melrose Place."
  • B. Annette Charles
    Annette Charles was an American actress best known for her role as Cha Cha DiGregorio in the film "Grease."
  • C. Carmen Lowell
    Carmen Lowell is a central character in "The Sisterhood of the Traveling Pants," known as a thoughtful, emotionally expressive teen navigating family, friendship, and identity.
  • D. Dorothy LaBostrie
    Dorothy LaBostrie was an American songwriter best known for co-writing Little Richard’s landmark rock and roll hit “Tutti Frutti.”
  • E. Charlotte Moorman
    Charlotte Moorman was an avant-garde American cellist and performance artist known for her experimental collaborations and boundary-pushing multimedia performances.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183231f2c81908f4e4037c3aa180b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084a6d6308190ad57a51b380171a2 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 4:55 a.m.