Triple

T13749326
Position Surface form Disambiguated ID Type / Status
Subject The Pillage E330299 entity
Predicate producer P490 FINISHED
Object Goldfinghaz E332341 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: Goldfinghaz | Statement: [The Pillage, producer, Goldfinghaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldfinghaz
Context triple: [The Pillage, producer, Goldfinghaz]
  • A. Goldfinghaz chosen
    Goldfinghaz is a hip-hop music producer best known for his work with the Wu-Tang Clan and its affiliates.
  • B. Goldi
    Goldi is an older name for the Nanai language, a Tungusic language spoken by the Nanai people of the Russian Far East and northeastern China.
  • C. Goldhanger
    Goldhanger is a small village in Essex, England, known for its historic church, traditional cottages, and location on the north bank of the River Blackwater.
  • D. Golde
    Golde is a central character in the musical and film "Fiddler on the Roof," known as Tevye’s practical and strong-willed wife in the fictional village of Anatevka.
  • E. Goldy
    Goldy is a central figure in Chester Himes’s crime novel "A Rage in Harlem," known for his involvement in a chaotic, darkly comic caper in 1950s Harlem.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02148c208190a882927905a861a6 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a854098c8190983d142c9930962b completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:08 p.m.