Triple

T33184255
Position Surface form Disambiguated ID Type / Status
Subject Ivan Bezdomny E849419 entity
Predicate meetsAtClinic P162421 FINISHED
Object The Master
The Master is a reclusive, tormented writer in Mikhail Bulgakov’s novel "The Master and Margarita," whose suppressed manuscript and tragic love story drive much of the book’s central plot.
 E2042505 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: The Master | Statement: [Ivan Bezdomny, meetsAtClinic, The Master]
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 Master
Triple: [Ivan Bezdomny, meetsAtClinic, The Master]
Generated description
The Master is a reclusive, tormented writer in Mikhail Bulgakov’s novel "The Master and Margarita," whose suppressed manuscript and tragic love story drive much of the book’s central plot.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: meetsAtClinic
Context triple: [Ivan Bezdomny, meetsAtClinic, The Master]
  • A. examinedIn
    Indicates that one entity is analyzed, inspected, or studied within the context, scope, or setting provided by another entity.
  • B. encountersDoctor chosen
    Indicates that one entity comes into contact with or meets a doctor in some context or situation.
  • C. typicalAppointmentContext
    Indicates the usual situational setting or circumstances in which an appointment typically occurs.
  • D. typicalAppointment
    Indicates that an appointment represents a standard, usual, or commonly occurring scheduling arrangement between entities.
  • E. openByAppointment
    Indicates that access or availability is provided only at scheduled times arranged in advance, rather than during regular open hours.
  • 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_69f3495e0f108190a6a7006f79f9c2c3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6dd3cc0648190a275812d6711275a completed May 3, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fba63c88190b2bc3501bb2dac83 completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a353033d4808190b4d8096162a14557 completed June 19, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_6a353298f99c8190a2774b4aab087295 completed June 19, 2026, 12:14 p.m.
PD Predicate disambiguation batch_69f6d82eaee081908f06a71546315aea completed May 3, 2026, 5:07 a.m.
Created at: May 1, 2026, 1:29 a.m.