Triple

T27289284
Position Surface form Disambiguated ID Type / Status
Subject Siobhán McCarthy E688570 entity
Predicate notableWork P4 FINISHED
Object The Hired Man
The Hired Man is a British musical, with music and lyrics by Howard Goodall and a book by Melvyn Bragg based on his own novel, that portrays the struggles of a Cumbrian working-class family in the early 20th century.
 E1764694 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: The Hired Man | Statement: [Siobhán McCarthy, notableWork, The Hired Man]
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: The Hired Man
Triple: [Siobhán McCarthy, notableWork, The Hired Man]
Generated description
The Hired Man is a British musical, with music and lyrics by Howard Goodall and a book by Melvyn Bragg based on his own novel, that portrays the struggles of a Cumbrian working-class family in the early 20th century.

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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f627583ba48190bd16a48a8d258066 completed May 2, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12629c63708190b635febbbd8c8fcd completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126ab866e881909878bd2cb8416f3b completed May 24, 2026, 3:04 a.m.
NED2 Entity disambiguation (via description) batch_6a126b50eacc8190921b0ced6ade9fcd completed May 24, 2026, 3:06 a.m.
Created at: April 27, 2026, 11:14 a.m.