Triple

T31155119
Position Surface form Disambiguated ID Type / Status
Subject Jeanette Juanita Ward E794181 entity
Predicate spouseCharacterPlayed P192842 FINISHED
Object Paul Drake
Paul Drake is a fictional private detective best known as Perry Mason’s resourceful investigator in Erle Stanley Gardner’s novels and their television adaptations.
E137612 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: Paul Drake | Statement: [Jeanette Juanita Ward, spouseCharacterPlayed, Paul Drake]
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: Paul Drake
Triple: [Jeanette Juanita Ward, spouseCharacterPlayed, Paul Drake]
Generated description
Paul Drake is a fictional private detective best known as Perry Mason’s resourceful investigator in Erle Stanley Gardner’s novels and their television adaptations.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spouseCharacterPlayed
Context triple: [Jeanette Juanita Ward, spouseCharacterPlayed, Paul Drake]
  • A. spouseCharacterOf
    Indicates a marital relationship where one character is the spouse of another character.
  • B. portrayedBySpouseOf
    Indicates that something is portrayed or depicted by the spouse of a given entity.
  • C. spouseOfRole
    Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
  • D. spouseAppearsIn
    Indicates that the spouse of a given person appears or is featured in a specified work, context, or setting.
  • E. hasSpouseInTVSeries
    Indicates that one person is the spouse of another person within the context of a specific TV series.
  • 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_69f224d41bb48190a5621cd1485e3a30 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a294724a63c81908c3b698ae7bbbeed completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a294edf1d4c8190adf74910b3e043a3 completed June 10, 2026, 11:47 a.m.
NED2 Entity disambiguation (via description) batch_6a294f6bb52c8190a5dd68fdcab3c805 completed June 10, 2026, 11:50 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
PDg Predicate description generation batch_69fd2cf29f808190856ab1d43a51d5c7 completed May 8, 2026, 12:23 a.m.
Created at: April 29, 2026, 9:06 p.m.