Triple

T25945467

Position	Surface form	Disambiguated ID	Type / Status
Subject	Betty Brant (MCU)	`E653827`	entity
Predicate	schoolProgram	`P162605`	FINISHED
Object	Midtown News Midtown News is the student-run news program at Midtown School of Science and Technology in the Marvel Cinematic Universe, known for its quirky in-school broadcasts featuring characters like Betty Brant.	`E1701778`	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: Midtown News | Statement: [Betty Brant (MCU), schoolProgram, Midtown News]

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: Midtown News
Triple: [Betty Brant (MCU), schoolProgram, Midtown News]

Generated description

Midtown News is the student-run news program at Midtown School of Science and Technology in the Marvel Cinematic Universe, known for its quirky in-school broadcasts featuring characters like Betty Brant.

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

Target predicate: schoolProgram
Context triple: [Betty Brant (MCU), schoolProgram, Midtown News]

A. schoolProgram chosen
Indicates that an entity is an educational program offered or administered by a particular school or educational institution.
B. schoolBoard
Indicates that an entity serves as or is governed by a school board responsible for overseeing educational policies and administration.
C. schoolBoardSystem
Indicates a governance or administrative relationship in which a school board oversees, manages, or makes decisions for a school system or district.
D. schoolLed
Indicates that an activity, initiative, or process is directed, organized, or primarily controlled by a school or educational institution.
E. publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
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_69e7ab40ac788190a771bc499eb1ae5f`	completed	April 21, 2026, 4:52 p.m.
NER	Named-entity recognition	`batch_69f638d11c988190af7fd4572b08e038`	completed	May 2, 2026, 5:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10ece4d2008190b90b1354c8f87edf`	completed	May 22, 2026, 11:55 p.m.
NEDg	Description generation	`batch_6a10f0cbb3d48190ac16d04f9510ac6d`	completed	May 23, 2026, 12:11 a.m.
NED2	Entity disambiguation (via description)	`batch_6a10f15441048190a5e1285220fcea3d`	completed	May 23, 2026, 12:14 a.m.
PD	Predicate disambiguation	`batch_69f63706b6008190993577193c85ff50`	completed	May 2, 2026, 5:40 p.m.

Created at: April 22, 2026, 8:43 a.m.