Triple

T14540121
Position Surface form Disambiguated ID Type / Status
Subject Dr. Mark Sloan E341144 entity
Predicate fictionalProfessionSpecialty P114856 FINISHED
Object internal medicine LITERAL 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: internal medicine | Statement: [Dr. Mark Sloan, fictionalProfessionSpecialty, internal medicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalProfessionSpecialty
Context triple: [Dr. Mark Sloan, fictionalProfessionSpecialty, internal medicine]
  • A. fictionalOccupation
    Indicates that one entity is the imaginary or narrative-based job, role, or profession attributed to another entity within a fictional context.
  • B. laterOccupationInFiction
    Indicates that a fictional character holds a particular occupation at a later point in the narrative or timeline, distinct from their earlier roles.
  • C. hasFictionalSpecialization
    Indicates that an entity’s area of focus, expertise, or role is within a fictional or imaginative domain rather than a real-world specialization.
  • D. creativeRole
    Indicates that an entity holds a specific creative function or responsibility in relation to another entity, such as a work or project.
  • E. portraysProfession
    Indicates that one entity depicts or represents another entity in a specific profession or occupational role.
  • F. None of above. chosen

Provenance (4 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69de5c546c7081909e27d504ec360c5c completed April 14, 2026, 3:25 p.m.
PDg Predicate description generation batch_69de610330a48190b558235a14c0dc9f completed April 14, 2026, 3:45 p.m.
Created at: April 10, 2026, 1:22 a.m.