Triple

T21945477
Position Surface form Disambiguated ID Type / Status
Subject Paul Gallico E541921 entity
Predicate workAdaptedAs P1926 FINISHED
Object Lili (1953 film) 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: Lili (1953 film) | Statement: [Paul Gallico, workAdaptedAs, Lili (1953 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lili (1953 film)
Context triple: [Paul Gallico, workAdaptedAs, Lili (1953 film)]
  • A. Lili
    Lili is a historic canal town in Wujiang District, Jiangsu Province, known for its traditional waterways, ancient bridges, and well-preserved Jiangnan architecture.
  • B. Lili chosen
    Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
  • C. Lili
    Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • D. Liliom (1963 television film)
    Liliom (1963 television film) is a made-for-television adaptation of Ferenc Molnár’s play about a troubled carousel barker whose afterlife reflections reveal the consequences of his earthly actions.
  • E. Lady Zhang
    Lady Zhang was the wife of Chinese warlord and military leader Wu Peifu, associated with the Beiyang government era in early 20th-century China.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12427c2b48190949c41bd3be2d9f3 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.