Triple

T17630647
Position Surface form Disambiguated ID Type / Status
Subject Mia E429966 entity
Predicate shortFormOf P43 FINISHED
Object Amelia 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: Amelia | Statement: [Mia, shortFormOf, Amelia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amelia
Context triple: [Mia, shortFormOf, Amelia]
  • A. Amelia
    Amelia was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
  • B. Amelia
    "Amelia" is a track featured on the album *Travelogue*, likely contributing a reflective or journey-themed element to the record’s overall narrative.
  • C. Amelia chosen
    Amelia is a feminine given name of Latin and Germanic origin, commonly used in many countries and often associated with figures such as aviation pioneer Amelia Earhart.
  • D. Amelia
    Amelia is the terror-stricken protagonist of the famous “Zuni doll” segment in the 1975 horror anthology film Trilogy of Terror.
  • E. Amelia
    "Amelia" is a 1751 novel by Henry Fielding that follows the trials of a virtuous wife and her flawed husband, exploring themes of marriage, morality, and social injustice in 18th-century England.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dc01b1c819099e3329cfb8cb77f completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.