Triple

T17360795
Position Surface form Disambiguated ID Type / Status
Subject Need U (100%) E422060 entity
Predicate featuredArtist P997 FINISHED
Object A*M*E — NE ONDG

How this triple was built (4 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: A*M*E | Statement: [Need U (100%), featuredArtist, A*M*E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A*M*E
Context triple: [Need U (100%), featuredArtist, A*M*E]
  • A. Amm
    Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
  • B. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • C. AMA
    AMA is the three-letter IATA airport code for Rick Husband Amarillo International Airport in Amarillo, Texas.
  • D. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • E. AAM
    AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A*M*E
Triple: [Need U (100%), featuredArtist, A*M*E]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A*M*E
Target entity description: A*M*E is a Sierra Leonean-born British singer and songwriter known for her work in pop and dance music, including collaborations with prominent electronic artists.
  • A. Amm
    Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
  • B. AMA
    AMA is the commonly used abbreviation for Japan’s Antimonopoly Act, the core law regulating competition and prohibiting monopolistic practices in the country.
  • C. AMA
    AMA is the three-letter IATA airport code for Rick Husband Amarillo International Airport in Amarillo, Texas.
  • D. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • E. AAM
    AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4cacd881909fd722068b019f25 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195609d988190b7a70f8eabf75eaa completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.