Triple

T32744370
Position Surface form Disambiguated ID Type / Status
Subject The Great Gatsby: Music from Baz Luhrmann's Film E837313 entity
Predicate featuresArtist P1952 FINISHED
Object will.i.am
will.i.am is an American rapper, singer, songwriter, and producer best known as a founding member of the Black Eyed Peas and for his work in pop and hip-hop music.
E9910 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: will.i.am | Statement: [The Great Gatsby: Music from Baz Luhrmann's Film, featuresArtist, will.i.am]
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: will.i.am
Triple: [The Great Gatsby: Music from Baz Luhrmann's Film, featuresArtist, will.i.am]
Generated description
will.i.am is an American rapper, singer, songwriter, and producer best known as a founding member of the Black Eyed Peas and for his work in pop and hip-hop music.

Provenance (5 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_69f34936e1748190b797e406e4e9293a completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cc1d2e68819089ee8b46d46e36c6 completed May 3, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7a0869c8190aa4769d4e34e4de6 completed June 19, 2026, 2:21 a.m.
NEDg Description generation batch_6a34a84e9e3881909614d79de44dd3cc completed June 19, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a34a8e08dc8819095892aefb102d650 completed June 19, 2026, 2:26 a.m.
Created at: May 1, 2026, 1:12 a.m.