Triple

T8207682
Position Surface form Disambiguated ID Type / Status
Subject The Girl from 10th Avenue E191727 entity
Predicate starring P1507 FINISHED
Object Alison Skipworth E542257 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: Alison Skipworth | Statement: [The Girl from 10th Avenue, starring, Alison Skipworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alison Skipworth
Context triple: [The Girl from 10th Avenue, starring, Alison Skipworth]
  • A. Alison Skipworth chosen
    Alison Skipworth was a British-born character actress of the early 20th century, known for her sharp-tongued, often aristocratic roles in American stage and film comedies.
  • B. Alison Wright
    Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
  • C. Gillian Siddall
    Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
  • D. Alison Moore
    Alison Moore is an Australian lexicographer who serves as the editor-in-chief of the Macquarie Dictionary, a leading dictionary of Australian English.
  • E. Alison Bashford
    Alison Bashford is a prominent Australian historian known for her influential work on global history, environmental history, and the history of science, medicine, and population.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726d26ec8190957da68227f5ce61 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6cacb9188190853bc649c3c75d97 completed April 2, 2026, 1:18 p.m.
Created at: March 30, 2026, 5:43 p.m.