Triple

T30933175

Position	Surface form	Disambiguated ID	Type / Status
Subject	Fun Run	`E788048`	entity
Predicate	fictionalEventNameInPlot	`P120967`	FINISHED
Object	Michael Scott’s Dunder Mifflin Scranton Meredith Palmer Memorial Celebrity Rabies Awareness Pro-Am Fun Run Race for the Cure Michael Scott’s Dunder Mifflin Scranton Meredith Palmer Memorial Celebrity Rabies Awareness Pro-Am Fun Run Race for the Cure is an absurdly long-titled charity fun run organized by Michael Scott in the TV series "The Office" to raise awareness about rabies after hitting Meredith with his car.	`E1939230`	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: Michael Scott’s Dunder Mifflin Scranton Meredith Palmer Memorial Celebrity Rabies Awareness Pro-Am Fun Run Race for the Cure | Statement: [Fun Run, fictionalEventNameInPlot, Michael Scott’s Dunder Mifflin Scranton Meredith Palmer Memorial Celebrity Rabies Awareness Pro-Am Fun Run Race for the Cure]

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: Michael Scott’s Dunder Mifflin Scranton Meredith Palmer Memorial Celebrity Rabies Awareness Pro-Am Fun Run Race for the Cure
Triple: [Fun Run, fictionalEventNameInPlot, Michael Scott’s Dunder Mifflin Scranton Meredith Palmer Memorial Celebrity Rabies Awareness Pro-Am Fun Run Race for the Cure]

Generated description

Michael Scott’s Dunder Mifflin Scranton Meredith Palmer Memorial Celebrity Rabies Awareness Pro-Am Fun Run Race for the Cure is an absurdly long-titled charity fun run organized by Michael Scott in the TV series "The Office" to raise awareness about rabies after hitting Meredith with his car.

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

Target predicate: fictionalEventNameInPlot
Context triple: [Fun Run, fictionalEventNameInPlot, Michael Scott’s Dunder Mifflin Scranton Meredith Palmer Memorial Celebrity Rabies Awareness Pro-Am Fun Run Race for the Cure]

A. fictionalUniverseEvent chosen
Indicates an event or occurrence that takes place within a specific fictional universe or narrative continuity.
B. fictionalOperationName
Indicates that a named operation or procedure exists in a fictional or hypothetical context.
C. storylineEvent
Indicates that one event occurs as a distinct step or component within a larger narrative or storyline.
D. locatedInFictionalEvent
Indicates that one entity (typically a place, object, or character) exists or occurs within the context or setting of a fictional event.
E. capturedInFictionalEvent
Indicates that an entity is depicted as being captured during a fictional event or scenario.
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_69f224c0b7fc819090cb89df60d23653`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69fd4f39b5008190b83b3227ce22c509`	completed	May 8, 2026, 2:49 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a28e47400448190bd0c471c594862a6`	completed	June 10, 2026, 4:13 a.m.
NEDg	Description generation	`batch_6a28e8a299908190a16f145e901f8edd`	completed	June 10, 2026, 4:31 a.m.
NED2	Entity disambiguation (via description)	`batch_6a28e91bbbcc8190bf420aaed9cf4b8a`	completed	June 10, 2026, 4:33 a.m.
PD	Predicate disambiguation	`batch_69fd4df17c548190a4e2a6fea70f7e10`	completed	May 8, 2026, 2:44 a.m.

Created at: April 29, 2026, 8:52 p.m.