Triple

T23410917
Position Surface form Disambiguated ID Type / Status
Subject The Truth E560063 entity
Predicate featuresArtist P1952 FINISHED
Object Amil E1238300 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: Amil | Statement: [The Truth, featuresArtist, Amil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amil
Context triple: [The Truth, featuresArtist, Amil]
  • A. Amil chosen
    Amil is an American rapper best known for her late-1990s work with Jay-Z and Roc-A-Fella Records, including her standout appearance on the hit single "Can I Get A...".
  • B. Amlash
    Amlash is a city in northern Iran known for its location in the lush, Caspian coastal region of Gilan Province.
  • C. Amed
    Amed is a coastal fishing village and popular diving and snorkeling destination in eastern Bali, Indonesia, known for its black sand beaches and coral reefs.
  • D. Amed
    Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • E. Amay
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a51183bc8190bd4860607b26b4b2 completed April 29, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c679958f4819087da6c499161219a completed May 19, 2026, 1:37 p.m.
Created at: April 17, 2026, 5:38 p.m.