Triple

T17977550
Position Surface form Disambiguated ID Type / Status
Subject troll dolls E449515 entity
Predicate hasAlternateName P39 FINISHED
Object Dam dolls NE NERFINISHED

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: Dam dolls | Statement: [troll dolls, hasAlternateName, Dam dolls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dam dolls
Context triple: [troll dolls, hasAlternateName, Dam dolls]
  • A. Dolls
    "Dolls" is a 1960s Swedish erotic drama film directed by Mac Ahlberg, known for its exploration of sexual relationships and psychological tension.
  • B. Living Doll
    "Living Doll" is a famous episode of the original The Twilight Zone series in which a seemingly sentient talking doll terrorizes a family, becoming one of the show's most iconic horror stories.
  • C. Voodoo Doll
    A Voodoo Doll is a small human-shaped figure used in various folk magic and spiritual traditions, often believed to influence a person symbolically connected to it.
  • D. Rumble Doll
    Rumble Doll is Patti Scialfa’s debut solo album, showcasing her introspective songwriting and roots-rock style.
  • E. troll dolls chosen
    Troll dolls are small, collectible plastic figurines with brightly colored, wild hair that became a popular toy and cultural icon starting in the 1960s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b200e9108190bcdde5ba7938ba94 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.