Triple

T11340359
Position Surface form Disambiguated ID Type / Status
Subject Princess Ahmanet E268578 entity
Predicate enemyOf P437 FINISHED
Object Nick Morton E902016 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: Nick Morton | Statement: [Princess Ahmanet, enemyOf, Nick Morton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Morton
Context triple: [Princess Ahmanet, enemyOf, Nick Morton]
  • A. Nick Morton chosen
    Nick Morton is the adventurous U.S. Army sergeant and treasure hunter who becomes entangled with an ancient evil in the 2017 film "The Mummy."
  • B. Daryl Sattler
    Daryl Sattler is an American professional soccer goalkeeper best known for his standout performances in the North American Soccer League, particularly with the San Antonio Scorpions.
  • C. Carl Mitchell
    Carl Mitchell, better known by his stage name Twista, is a Chicago rapper renowned for his rapid-fire delivery and contributions to hip-hop.
  • D. Michael Dorsey
    Michael Dorsey is the struggling, perfectionist New York actor who disguises himself as a woman to land a soap-opera role in the 1982 film "Tootsie."
  • E. Dave Morgan
    Dave Morgan is the awkward but good-hearted high school teenager who discovers and befriends a frozen caveman in the 1992 comedy film "Encino Man."
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea01c6c08190910a6ce8fb7e186d completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55645d8bc8190b338c05ee382d5fc completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.