Triple

T3223694
Position Surface form Disambiguated ID Type / Status
Subject Charles Walters E67570 entity
Predicate notableWork P4 FINISHED
Object Lili E236631 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: Lili | Statement: [Charles Walters, notableWork, Lili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lili
Context triple: [Charles Walters, notableWork, Lili]
  • A. 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.
  • B. Lilia
    Lilia is a feminine given name, often considered a variant of Lily and associated with the elegance and symbolism of the lily flower.
  • C. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • D. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • E. Lillie
    Lillie is the given name of Lillie Hitchcock Coit, a famed 19th-century San Francisco socialite and patron associated with the city’s firefighting history.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1ae8f08190880d0f0e8539cdbc completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625a22148190927b2a63ae3fc726 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.