Triple

T36172170
Position Surface form Disambiguated ID Type / Status
Subject Miles Adler-Hart E1046172 entity
Predicate hasPointOfViewIn P8789 FINISHED
Object Casebook
Casebook is a novel by Mona Simpson that follows a young boy, Miles Adler-Hart, as he secretly investigates the unraveling of his parents’ marriage.
 E323568 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: Casebook | Statement: [Miles Adler-Hart, hasPointOfViewIn, Casebook]
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: Casebook
Triple: [Miles Adler-Hart, hasPointOfViewIn, Casebook]
Generated description
Casebook is a novel by Mona Simpson that follows a young boy, Miles Adler-Hart, as he secretly investigates the unraveling of his parents’ marriage.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPointOfViewIn
Context triple: [Miles Adler-Hart, hasPointOfViewIn, Casebook]
  • A. hasViewingPointFor
    Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
  • B. hasViewpointType
    Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
  • C. hasFieldOfView
    Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
  • D. perspectiveOf chosen
    Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
  • E. hasViewpointConcept
    Indicates that something is associated with, characterized by, or defined through a particular viewpoint, perspective, or conceptual stance.
  • F. None of above.

Provenance (6 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_69f76e396bc88190b99d221bff9be27a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ff7bc112088190851501fb2a16103d completed May 9, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b419f3108190a6ebb5ceb852d27e completed June 22, 2026, 10:15 p.m.
NEDg Description generation batch_6a39b7df80488190bce4fadf5a89ec28 completed June 22, 2026, 10:31 p.m.
NED2 Entity disambiguation (via description) batch_6a39b9256c708190b61cc0398dd01595 completed June 22, 2026, 10:37 p.m.
PD Predicate disambiguation batch_69ff7b45507c81909753866ad733601a completed May 9, 2026, 6:21 p.m.
Created at: May 3, 2026, 4:08 p.m.