Triple

T12814890
Position Surface form Disambiguated ID Type / Status
Subject Hey Girl E306365 entity
Predicate performer P1363 FINISHED
Object Freddie Scott E1005646 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: Freddie Scott | Statement: [Hey Girl, performer, Freddie Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freddie Scott
Context triple: [Hey Girl, performer, Freddie Scott]
  • A. Freddie Scott chosen
    Freddie Scott was an American soul singer and songwriter best known for his 1960s hits like "Hey Girl" and "Are You Lonely for Me."
  • B. 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.
  • C. Freddie Young
    Freddie Young was a renowned British cinematographer best known for his sweeping, visually stunning work on epic films such as "Lawrence of Arabia."
  • D. Freddie Cochrane
    Freddie Cochrane was an American professional boxer best known for becoming world welterweight champion in the 1940s.
  • E. 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."
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9beb30819097c256a5aab9a4c8 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b97ffd481909c540f52c781f63f completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.