Triple

T12565303
Position Surface form Disambiguated ID Type / Status
Subject The Yellow Ticket E295458 entity
Predicate hasCastMember P2308 FINISHED
Object Maude Fealy E1010120 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: Maude Fealy | Statement: [The Yellow Ticket, hasCastMember, Maude Fealy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maude Fealy
Context triple: [The Yellow Ticket, hasCastMember, Maude Fealy]
  • A. Maude Fealy chosen
    Maude Fealy was an American stage and silent film actress known for her delicate beauty, dramatic talent, and extensive theatrical career in the early 20th century.
  • B. Doris Lloyd
    Doris Lloyd was a British-born character actress who appeared in numerous American films and stage productions from the 1920s through the 1950s.
  • C. Phyllis Haver
    Phyllis Haver was an American silent film actress best known for her vivacious screen presence and her role as Roxie Hart in the 1927 film adaptation of "Chicago."
  • D. Margaret Dumont
    Margaret Dumont was an American comic actress best known as the dignified, often flustered foil to the Marx Brothers in many of their classic films.
  • E. Mary Elizabeth Channing
    Mary Elizabeth Channing was the wife of American Unitarian minister, abolitionist, and author Thomas Wentworth Higginson.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af43f2188190b0e78f22dc6ba3f8 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 11:49 p.m.