Triple

T35583177

Position	Surface form	Disambiguated ID	Type / Status
Subject	First Lady of Wisconsin	`E1028274`	entity
Predicate	canBeMaleEquivalent	`P15994`	FINISHED
Object	First Gentleman of Wisconsin The First Gentleman of Wisconsin is the informal title given to the male spouse or partner of the sitting Governor of Wisconsin, who often participates in ceremonial, charitable, and public roles alongside the governor.	`E2146531`	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: First Gentleman of Wisconsin | Statement: [First Lady of Wisconsin, canBeMaleEquivalent, First Gentleman of Wisconsin]

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: First Gentleman of Wisconsin
Triple: [First Lady of Wisconsin, canBeMaleEquivalent, First Gentleman of Wisconsin]

Generated description

The First Gentleman of Wisconsin is the informal title given to the male spouse or partner of the sitting Governor of Wisconsin, who often participates in ceremonial, charitable, and public roles alongside the governor.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: canBeMaleEquivalent
Context triple: [First Lady of Wisconsin, canBeMaleEquivalent, First Gentleman of Wisconsin]

A. hasFemaleEquivalent
Indicates that one entity serves as the female counterpart or equivalent of another entity.
B. maleEquivalent chosen
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
C. canBeMaleName
Indicates that something is a possible or valid given name for a male.
D. hasGenderVariant
Indicates that one entity is a gender-specific form or variant of another entity.
E. bearerGender
Indicates the gender associated with the bearer in the relationship or context.
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_69f76e0495a081909beced418558c0b4`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69fed6da0390819096b88ef4714b144e`	completed	May 9, 2026, 6:40 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38530afa488190b3fa42c9a8069c0e`	completed	June 21, 2026, 9:09 p.m.
NEDg	Description generation	`batch_6a385475674c8190866dd53e47dac3bd`	completed	June 21, 2026, 9:15 p.m.
NED2	Entity disambiguation (via description)	`batch_6a38552e7974819082b7ee16b00a21d0`	completed	June 21, 2026, 9:18 p.m.
PD	Predicate disambiguation	`batch_69fed53517d081909966f31707625f1a`	completed	May 9, 2026, 6:33 a.m.

Created at: May 3, 2026, 4:04 p.m.