Triple

T26645812
Position Surface form Disambiguated ID Type / Status
Subject Little Junior Parker E668903 entity
Predicate notableSong P4 FINISHED
Object Mother-in-Law Blues
"Mother-in-Law Blues" is a classic electric blues song best known through the influential recording by Little Junior Parker.
 E1734603 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: Mother-in-Law Blues | Statement: [Little Junior Parker, notableSong, Mother-in-Law Blues]
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: Mother-in-Law Blues
Triple: [Little Junior Parker, notableSong, Mother-in-Law Blues]
Generated description
"Mother-in-Law Blues" is a classic electric blues song best known through the influential recording by Little Junior Parker.

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_69ee9d00eb5481908d6c6d0ada2f0c9a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f61675230c8190b86209ef1beeaf87 completed May 2, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec410730819095a3c02cd5724302 completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ed11cca08190b0700be2359851d0 completed May 23, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_6a11edfed6288190b0c75e8c4a0216ba completed May 23, 2026, 6:12 p.m.
Created at: April 27, 2026, 2:31 a.m.