Triple

T16779349

Position	Surface form	Disambiguated ID	Type / Status
Subject	Christine "Lady Bird" McPherson	`E407815`	entity
Predicate	hasSceneLocation	`P124600`	FINISHED
Object	New York City	`E40`	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: New York City | Statement: [Christine "Lady Bird" McPherson, hasSceneLocation, New York City]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: New York City
Context triple: [Christine "Lady Bird" McPherson, hasSceneLocation, New York City]

A. New York City chosen
New York City is the largest city in the United States, a global center of finance, culture, media, and technology.
B. NYC
NYC is a historic American railroad company that operated major passenger and freight services across the northeastern and midwestern United States.
C. New York
New York is a populous and economically significant U.S. state known for New York City, a global center of finance, culture, and media.
D. New York, New York
"New York, New York" is a 1995 West Coast hip hop single by Tha Dogg Pound, notable for its Dr. Dre–produced beat and its role in the mid-1990s East Coast–West Coast rap rivalry.
E. Manhattan
The Manhattan is a classic whiskey-based cocktail, traditionally made with rye or bourbon, sweet vermouth, and bitters, and typically served stirred and garnished with a cherry.
F. None of above.
G. Unsure - the case is ambiguous/there is not enough information to decide.

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

Target predicate: hasSceneLocation
Context triple: [Christine "Lady Bird" McPherson, hasSceneLocation, New York City]

A. hasStageLocation
Indicates that an event, process, or staged activity occurs at or is associated with a specific location.
B. containsScene
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
C. hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
D. hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
E. hasRegionalScene
Indicates that something possesses or is associated with a specific regional scene, such as a localized cultural, artistic, or social milieu.
F. None of above. chosen

Provenance (5 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_69d8839270588190886720d9519bbf8f`	completed	April 10, 2026, 4:58 a.m.
NER	Named-entity recognition	`batch_69e3b21401b881909bbbc7382e851a90`	completed	April 18, 2026, 4:32 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a00aaeaf4388190aa5340a01938b3f2`	completed	May 10, 2026, 3:57 p.m.
PD	Predicate disambiguation	`batch_69e319cf691c819083e39225f5777ef0`	completed	April 18, 2026, 5:42 a.m.
PDg	Predicate description generation	`batch_69e326bac94481908c082117553320f8`	completed	April 18, 2026, 6:37 a.m.

Created at: April 10, 2026, 5:22 a.m.