Triple

T35142576

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ursula Buffay	`E1014733`	entity
Predicate	crossOverCharacterBetween	`P189748`	FINISHED
Object	Friends and Mad About You Friends and Mad About You are two interconnected 1990s American sitcoms set in New York City that share the character Ursula Buffay, creating a notable crossover between their story worlds.	`E2126783`	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: Friends and Mad About You | Statement: [Ursula Buffay, crossOverCharacterBetween, Friends and Mad About You]

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: Friends and Mad About You
Triple: [Ursula Buffay, crossOverCharacterBetween, Friends and Mad About You]

Generated description

Friends and Mad About You are two interconnected 1990s American sitcoms set in New York City that share the character Ursula Buffay, creating a notable crossover between their story worlds.

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

Target predicate: crossOverCharacterBetween
Context triple: [Ursula Buffay, crossOverCharacterBetween, Friends and Mad About You]

A. crossesOverWith
Indicates that one entity intersects or overlaps with another, typically by passing across or through its path, boundary, or extent.
B. crossedBy
Indicates that one entity (typically a path, line, or boundary) is intersected or traversed by another entity.
C. crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
D. crossWith
Indicates that one entity intersects or passes over/through the path, boundary, or position of another entity.
E. crossPosition
Indicates a spatial relationship where one entity is positioned so that it crosses over or intersects the position or path of another entity.
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_69f76dda7c108190a2ffd93eb6c341a7`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69fbca6c066c8190a1599202f341417f`	completed	May 6, 2026, 11:10 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37d95c5c388190b1b81a66274cf49e`	completed	June 21, 2026, 12:30 p.m.
NEDg	Description generation	`batch_6a37daeb79d88190a73d274e6e66148c`	completed	June 21, 2026, 12:36 p.m.
NED2	Entity disambiguation (via description)	`batch_6a37db3942b08190813492feb0687795`	completed	June 21, 2026, 12:38 p.m.
PD	Predicate disambiguation	`batch_69fbc8ec03ac8190a757563f96fab283`	completed	May 6, 2026, 11:04 p.m.
PDg	Predicate description generation	`batch_69fbc9d0854c8190aa00093274afebb8`	completed	May 6, 2026, 11:08 p.m.

Created at: May 3, 2026, 4:02 p.m.