Triple

T33802517
Position Surface form Disambiguated ID Type / Status
Subject Nick Hornby bibliography E866265 entity
Predicate includesEditedWork P204246 FINISHED
Object Speaking with the Angel
Speaking with the Angel is a 2000 anthology of original short stories edited by Nick Hornby, featuring contributions from a range of prominent contemporary writers.
E2068165 NE FINISHED

How this triple was built (3 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: Speaking with the Angel | Statement: [Nick Hornby bibliography, includesEditedWork, Speaking with the Angel]
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: Speaking with the Angel
Triple: [Nick Hornby bibliography, includesEditedWork, Speaking with the Angel]
Generated description
Speaking with the Angel is a 2000 anthology of original short stories edited by Nick Hornby, featuring contributions from a range of prominent contemporary writers.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesEditedWork
Context triple: [Nick Hornby bibliography, includesEditedWork, Speaking with the Angel]
  • A. hasEditedWork
    Indicates that one entity has revised, modified, or otherwise edited a work created by another (or by itself).
  • B. coEditedWork
    Indicates that two or more entities jointly served as editors of the same work.
  • C. editedIn
    Indicates that an entity was modified, revised, or otherwise altered within a particular context, tool, environment, or time frame.
  • D. adaptedWorkEdited
    Indicates that an adapted work has been modified or revised through an editorial process.
  • E. basedOnWorkEdited
    Indicates that one entity is derived from, adapted from, or otherwise created on the basis of a work that another entity has edited.
  • F. None of above. chosen

Provenance (7 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_69f3499057fc81909d862b1309a3bd71 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a0356f541b08190b40469aa628087f4 completed May 12, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a366599883c8190a319dcf124bdf1b8 completed June 20, 2026, 10:04 a.m.
NEDg Description generation batch_6a36665237cc8190bc8377bb72784058 completed June 20, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_6a36676a438881909d01a02d62eccfdc completed June 20, 2026, 10:11 a.m.
PD Predicate disambiguation batch_6a03569e4fa881909c57351a6c489636 completed May 12, 2026, 4:34 p.m.
PDg Predicate description generation batch_6a0356f44b308190822c6becc71e3582 completed May 12, 2026, 4:36 p.m.
Created at: May 1, 2026, 1:46 a.m.