Triple

T36135859

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Label Maker	`E1045163`	entity
Predicate	featuresGuestCharacter	`P93957`	FINISHED
Object	Tim Whatley Tim Whatley is a recurring Seinfeld character, a dentist known for his questionable ethics and humorous interactions with Jerry and the gang.	`E2171859`	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: Tim Whatley | Statement: [The Label Maker, featuresGuestCharacter, Tim Whatley]

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: Tim Whatley
Triple: [The Label Maker, featuresGuestCharacter, Tim Whatley]

Generated description

Tim Whatley is a recurring Seinfeld character, a dentist known for his questionable ethics and humorous interactions with Jerry and the gang.

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

Target predicate: featuresGuestCharacter
Context triple: [The Label Maker, featuresGuestCharacter, Tim Whatley]

A. mainGuestCharacter
Indicates that one entity serves as the primary guest character in relation to another entity, such as a work or episode.
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. featuresReturningCharacterFrom
Indicates that a work includes the reappearance of a character who previously appeared in the referenced source work.
D. guestStar
Indicates that one entity appears in a limited, special, or featured role within another entity’s production, event, or context, without being a regular or primary participant.
E. featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
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_69f76e36a4508190b5bfc8f594272a4c`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a037c8d06cc8190ab6a5e18d9d2571e`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a390d41cd048190b6fb88d460a6f982`	completed	June 22, 2026, 10:24 a.m.
NEDg	Description generation	`batch_6a390e13b7b08190a339ed7bd191f8b9`	completed	June 22, 2026, 10:27 a.m.
NED2	Entity disambiguation (via description)	`batch_6a390f4f8d848190b72143928c888b70`	completed	June 22, 2026, 10:32 a.m.
PD	Predicate disambiguation	`batch_6a037a0895b48190acdd88dc10db7be7`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:08 p.m.