Triple

T7908440
Position Surface form Disambiguated ID Type / Status
Subject d'Ambrosio E183635 entity
Predicate originalSurnameOf P23349 FINISHED
Object Lou Ambers E35409 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: Lou Ambers | Statement: [d'Ambrosio, originalSurnameOf, Lou Ambers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Ambers
Context triple: [d'Ambrosio, originalSurnameOf, Lou Ambers]
  • A. Lou Ambers chosen
    Lou Ambers was an American professional boxer best known as a two-time world lightweight champion during the 1930s.
  • B. John Burningham
    John Burningham was a renowned British author and illustrator of children's books, celebrated for his distinctive, whimsical artwork and storytelling.
  • C. John Rose
    John Rose is a Republican U.S. Representative from Tennessee who serves in the House of Representatives.
  • D. George Moran
    George Moran is an American physician best known as the husband of journalist and author Tatiana Schlossberg, the granddaughter of President John F. Kennedy.
  • E. Michael Hamlyn
    Michael Hamlyn is a film producer best known for his work on the acclaimed Australian comedy-drama "The Adventures of Priscilla, Queen of the Desert."
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a59de00819099f1ce02bb469e75 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bd0024c81909679a45612bcb1a7 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:03 p.m.