Triple

T29004318
Position Surface form Disambiguated ID Type / Status
Subject Hard Habit to Break E736384 entity
Predicate writer P1360 FINISHED
Object John Lewis Parker
John Lewis Parker is a songwriter best known for co-writing the Chicago hit ballad "Hard Habit to Break."
E1844461 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: John Lewis Parker | Statement: [Hard Habit to Break, writer, John Lewis Parker]
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: John Lewis Parker
Triple: [Hard Habit to Break, writer, John Lewis Parker]
Generated description
John Lewis Parker is a songwriter best known for co-writing the Chicago hit ballad "Hard Habit to Break."

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_69f077eb81e88190ad9ff62cbb9f555e completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fbe768c819083a4759f39f0df79 completed May 2, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505c1ae7c81908ecf62cd2a52935b completed June 7, 2026, 5:46 a.m.
NEDg Description generation batch_6a250a3aa7188190add2b1d6f2f52226 completed June 7, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a250e23dd70819082500df27b31e03c completed June 7, 2026, 6:22 a.m.
Created at: April 28, 2026, 9:36 a.m.