Triple

T8207685
Position Surface form Disambiguated ID Type / Status
Subject The Girl from 10th Avenue E191727 entity
Predicate starring P1507 FINISHED
Object Katharine Alexander E663215 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: Katharine Alexander | Statement: [The Girl from 10th Avenue, starring, Katharine Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katharine Alexander
Context triple: [The Girl from 10th Avenue, starring, Katharine Alexander]
  • A. Katharine Alexander chosen
    Katharine Alexander was an American stage and film actress active in the early to mid-20th century, known for her character roles in Hollywood dramas.
  • B. Kathryn Alexander
    Kathryn Alexander is known as the daughter of American politician and former U.S. Senator Lamar Alexander.
  • C. Catherine Stewart
    Catherine Stewart was an illegitimate daughter of King James IV of Scotland, known primarily through her royal parentage in the late 15th and early 16th centuries.
  • D. Katherine Pope
    Katherine Pope is a television executive and producer known for her leadership roles at major studios and her work overseeing high-profile series.
  • E. Katherine Woodcock
    Katherine Woodcock was the second wife of the English poet John Milton, remembered primarily through his sonnet mourning her death shortly after childbirth.
  • 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.