Triple

T24204311

Position	Surface form	Disambiguated ID	Type / Status
Subject	I Love New York	`E600060`	entity
Predicate	featuresCharacterNickname	`P93957`	FINISHED
Object	New York (for Tiffany Pollard) New York (for Tiffany Pollard) is the on-screen nickname of Tiffany Pollard, a reality television personality best known for her dramatic and outspoken appearances on shows like "Flavor of Love" and her own spin-off series.	`E1624549`	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 (for Tiffany Pollard) | Statement: [I Love New York, featuresCharacterNickname, New York (for Tiffany Pollard)]

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: New York (for Tiffany Pollard)
Triple: [I Love New York, featuresCharacterNickname, New York (for Tiffany Pollard)]

Generated description

New York (for Tiffany Pollard) is the on-screen nickname of Tiffany Pollard, a reality television personality best known for her dramatic and outspoken appearances on shows like "Flavor of Love" and her own spin-off series.

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

Target predicate: featuresCharacterNickname
Context triple: [I Love New York, featuresCharacterNickname, New York (for Tiffany Pollard)]

A. leadCharacterNickname
Indicates that one entity is the nickname commonly used for the lead (main) character of another entity.
B. featuresCharacterWith chosen
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
C. characterAlias
Indicates that one character is known or referred to by an alternative name or alias.
D. featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
E. characterName
Indicates that an entity has a specific name used to identify its character.
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_69e288ceaab88190899d0acb5931591d`	completed	April 17, 2026, 7:23 p.m.
NER	Named-entity recognition	`batch_69f27ca38c148190ae65cd692567d43d`	completed	April 29, 2026, 9:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fbd168ee0819095042a9dc0ce0a78`	completed	May 22, 2026, 2:19 a.m.
NEDg	Description generation	`batch_6a0fbe44a6ec81908122919e4a460e6c`	completed	May 22, 2026, 2:24 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0fbf3cf7988190a9d766bfca4ef994`	completed	May 22, 2026, 2:28 a.m.
PD	Predicate disambiguation	`batch_69f1c43e55688190b55fc20274ed471c`	completed	April 29, 2026, 8:41 a.m.

Created at: April 17, 2026, 11:37 p.m.