Triple

T37603656

Position	Surface form	Disambiguated ID	Type / Status
Subject	That's My Bush!	`E935589`	entity
Predicate	originallyPlannedTitle	`P204306`	FINISHED
Object	Everybody Loves Al Everybody Loves Al was the original working title for the satirical White House–set sitcom that ultimately aired as That's My Bush!.	`E2234049`	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: Everybody Loves Al | Statement: [That's My Bush!, originallyPlannedTitle, Everybody Loves Al]

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: Everybody Loves Al
Triple: [That's My Bush!, originallyPlannedTitle, Everybody Loves Al]

Generated description

Everybody Loves Al was the original working title for the satirical White House–set sitcom that ultimately aired as That's My Bush!.

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

Target predicate: originallyPlannedTitle
Context triple: [That's My Bush!, originallyPlannedTitle, Everybody Loves Al]

A. originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
B. originalWorkingTitleOf chosen
Indicates that one entity was the initial or provisional working title used for another entity before its final or official title was chosen.
C. originalTitleUsedIn
Indicates that an entity’s original title is used in or associated with a particular work, edition, or context.
D. fromWorkOriginalTitle
Indicates that an entity originates from or is based on a work whose original title is the one specified.
E. originalTitleName
Indicates that one entity is the original or primary title name associated with 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_69f76ed0a85481909254a8a89090c826`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_6a037c8efcd4819088c2aeead65d93df`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40a8085c888190b9954550ea625cc8`	completed	June 28, 2026, 4:50 a.m.
NEDg	Description generation	`batch_6a40a8d3abd881908651ced357bc36ec`	completed	June 28, 2026, 4:53 a.m.
NED2	Entity disambiguation (via description)	`batch_6a40a970bc8c81909713a1cea994881b`	completed	June 28, 2026, 4:56 a.m.
PD	Predicate disambiguation	`batch_6a037a1553e08190bb7424c448cb1f33`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:18 p.m.