Triple

T1108807
Position Surface form Disambiguated ID Type / Status
Subject Tin Lizzie E25545 entity
Predicate alsoKnownAs P39 FINISHED
Object Leaping Lena E25546 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: Leaping Lena | Statement: [Tin Lizzie, alsoKnownAs, Leaping Lena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leaping Lena
Context triple: [Tin Lizzie, alsoKnownAs, Leaping Lena]
  • A. Leaping Lena chosen
    Leaping Lena is a nickname for the Ford Model T, the iconic early 20th-century automobile that revolutionized mass car production and personal transportation.
  • B. Somersault
    Somersault is a 2004 Australian coming-of-age drama film, directed by Cate Shortland, that follows a troubled teenage girl seeking escape and self-discovery in a small snowbound town.
  • C. Lastochka
    Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
  • D. Zooropa
    Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
  • E. Alupka
    Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4f65888190b48c2d220e62a26b completed March 7, 2026, 4:03 p.m.
Created at: March 1, 2026, 7:43 p.m.