Triple

T22689718
Position Surface form Disambiguated ID Type / Status
Subject Ryan's Daughter E561016 entity
Predicate awardReceivedBy P11 FINISHED
Object Freddie Young 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: Freddie Young | Statement: [Ryan's Daughter, awardReceivedBy, Freddie Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freddie Young
Context triple: [Ryan's Daughter, awardReceivedBy, Freddie Young]
  • A. Freddie Young chosen
    Freddie Young was a renowned British cinematographer best known for his sweeping, visually stunning work on epic films such as "Lawrence of Arabia."
  • B. Freddie Bartholomew
    Freddie Bartholomew was a prominent British-American child actor of the 1930s, best known for his leading roles in classic Hollywood films such as "David Copperfield" and "Little Lord Fauntleroy."
  • C. Freddie Scott
    Freddie Scott was an American soul singer and songwriter best known for his 1960s hits like "Hey Girl" and "Are You Lonely for Me."
  • D. Freddie Taylor
    Freddie Taylor is the central protagonist of the British coming-of-age film "Cemetery Junction," a young man struggling to escape his small-town life and find a more meaningful future.
  • E. Freddie Syborn
    Freddie Syborn is a British television writer and producer best known for co-creating and writing the sitcom "Bad Education."
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789a1fd08190bce5fa0babe695d3 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.