Triple

T34428085

Position	Surface form	Disambiguated ID	Type / Status
Subject	Compass Players	`E883744`	entity
Predicate	notableAlumniWentOnTo	`P148660`	FINISHED
Object	Broadway Broadway is New York City’s famed theater district and the center of American commercial stage productions, renowned for its large-scale musicals and plays.	`E16252`	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: Broadway | Statement: [Compass Players, notableAlumniWentOnTo, Broadway]

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: Broadway
Triple: [Compass Players, notableAlumniWentOnTo, Broadway]

Generated description

Broadway is New York City’s famed theater district and the center of American commercial stage productions, renowned for its large-scale musicals and plays.

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

Target predicate: notableAlumniWentOnTo
Context triple: [Compass Players, notableAlumniWentOnTo, Broadway]

A. notableAlumniAchievement
Indicates that an alumnus is recognized for a significant achievement or distinction associated with their post-graduation activities.
B. notableAlumniRegion
Indicates that a region is known for having produced notable alumni associated with a particular institution or organization.
C. notableAlumniCareerPath chosen
Indicates the professional trajectories or career developments followed by notable alumni after their association with an institution or organization.
D. hasNotableAlumniInstitution
Indicates that an institution is associated with one or more notable alumni who previously attended or graduated from it.
E. hasNotableAlumniType
Indicates that an entity has notable alumni belonging to a specified category or type.
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_69f349c3dd2c819092cc9e64809f4a42`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_6a037c8ae0248190b7e2ce4bf852c22d`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37182d8b3c8190872a3fa59c0b653e`	completed	June 20, 2026, 10:46 p.m.
NEDg	Description generation	`batch_6a3719cd8f948190a8e630238c2d188c`	completed	June 20, 2026, 10:53 p.m.
NED2	Entity disambiguation (via description)	`batch_6a371a55d37c8190b64108b7d04efb48`	completed	June 20, 2026, 10:55 p.m.
PD	Predicate disambiguation	`batch_6a0379fbe4a08190bfe65ebd141164e9`	completed	May 12, 2026, 7:05 p.m.

Created at: May 1, 2026, 2 a.m.