Triple

T25006637
Position Surface form Disambiguated ID Type / Status
Subject Fat Charlie Nancy E625856 entity
Predicate hasFutureFatherInLaw P60016 FINISHED
Object Maurice Noah
Maurice Noah is a character in Neil Gaiman’s novel "Anansi Boys," known as the respectable, somewhat conventional father of Rosie Noah and future father-in-law of the protagonist, Fat Charlie Nancy.
 E1659630 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: Maurice Noah | Statement: [Fat Charlie Nancy, hasFutureFatherInLaw, Maurice Noah]
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: Maurice Noah
Triple: [Fat Charlie Nancy, hasFutureFatherInLaw, Maurice Noah]
Generated description
Maurice Noah is a character in Neil Gaiman’s novel "Anansi Boys," known as the respectable, somewhat conventional father of Rosie Noah and future father-in-law of the protagonist, Fat Charlie Nancy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasFutureFatherInLaw
Context triple: [Fat Charlie Nancy, hasFutureFatherInLaw, Maurice Noah]
  • A. futureFatherInLaw chosen
    Indicates that one person is the father of another person's future spouse, i.e., will become their father-in-law through an anticipated marriage.
  • B. possibleFatherInLaw
    Indicates that one person is a potential or candidate father-in-law of another, typically as the (possible) father of that person’s spouse or prospective spouse.
  • C. fatherInLaw
    Indicates a relationship where one person is the father of another person's spouse or the spouse of someone's parent.
  • D. hasGreatNephew
    Indicates that one person is the great-nephew (the grandson of a sibling) of another person.
  • E. hasFatherFigure
    Indicates that one entity serves as a paternal or father-like figure to another entity, regardless of biological relation.
  • 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_69e2ff26c50481908bc82e799c9e6587 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44b113f8c8190ae05102e9c2ae076 completed May 1, 2026, 6:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1033730f0881908da32ad0591e7f8f completed May 22, 2026, 10:44 a.m.
NEDg Description generation batch_6a103422072c8190949546db07c0b9bd completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a10351c0c0081909453f67b06668188 completed May 22, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69f442c0c2e88190acd7f170f10ccef6 completed May 1, 2026, 6:05 a.m.
Created at: April 18, 2026, 6:05 a.m.