Triple

T31655774
Position Surface form Disambiguated ID Type / Status
Subject The Mother E807854 entity
Predicate maritalStatusWithTed P5173 FINISHED
Object married 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: married | Statement: [The Mother, maritalStatusWithTed, married]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritalStatusWithTed
Context triple: [The Mother, maritalStatusWithTed, married]
  • A. maritalStatusInDisguise
    Indicates that an entity’s true marital status is being concealed or misrepresented, typically appearing different from what it actually is.
  • B. parentsMarriageStatus
    Indicates the marital status relationship between an individual’s parents (e.g., married, divorced, separated, never married).
  • C. hasMaritalStatusAtEnd
    Indicates that an entity possesses a specific marital status at the end of a given period, event, or reference time.
  • D. marital status
    Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
  • E. spouseStatus chosen
    Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
  • F. None of above.

Provenance (3 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_69f348daf95c81908b4c985b7ddcd0b3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6b49436b0819094e21603054d05d4 completed May 3, 2026, 2:36 a.m.
PD Predicate disambiguation batch_69f6b3a7bdb481908d16a32f49e38c2c completed May 3, 2026, 2:32 a.m.
Created at: April 30, 2026, 10:55 p.m.