Triple

T38670810
Position Surface form Disambiguated ID Type / Status
Subject Mark Medoff E940579 entity
Predicate notableWork P4 FINISHED
Object The Homage That Follows
The Homage That Follows is a dramatic work by American playwright Mark Medoff, best known for its intense psychological themes and character-driven storytelling.
 E2279830 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 Homage That Follows | Statement: [Mark Medoff, notableWork, The Homage That Follows]
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 Homage That Follows
Triple: [Mark Medoff, notableWork, The Homage That Follows]
Generated description
The Homage That Follows is a dramatic work by American playwright Mark Medoff, best known for its intense psychological themes and character-driven storytelling.

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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdc13e4b081908123167772acdd7d completed May 7, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd6d9d0c81908984cf76f5455fa1 completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fe94c1fc8190bb21fee5acc371ff completed June 29, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff1ca2d481909286a6c77f64b8b1 completed June 29, 2026, 5:14 a.m.
Created at: May 3, 2026, 4:33 p.m.