Triple

T27772773
Position Surface form Disambiguated ID Type / Status
Subject Mary Jane Girls E701796 entity
Predicate bestKnownFor P22 FINISHED
Object hit single In My House
"In My House" is a mid-1980s funk-infused R&B hit by the Mary Jane Girls that became their signature and most commercially successful song.
 E1788125 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: hit single In My House | Statement: [Mary Jane Girls, bestKnownFor, hit single In My House]
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: hit single In My House
Triple: [Mary Jane Girls, bestKnownFor, hit single In My House]
Generated description
"In My House" is a mid-1980s funk-infused R&B hit by the Mary Jane Girls that became their signature and most commercially successful song.

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_69ef6a52fa708190934a32308d2c92dc completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63797ab708190876c93bc93b05043 completed May 2, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ecbd5a308190bc56732476a508c6 completed May 24, 2026, 12:19 p.m.
NEDg Description generation batch_6a12edc0d3ec8190b8b1c8b16884ef64 completed May 24, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a12ee4f57508190aa0d1832b30a9556 completed May 24, 2026, 12:25 p.m.
Created at: April 27, 2026, 4:36 p.m.