Triple

T27170712

Position	Surface form	Disambiguated ID	Type / Status
Subject	Dan Bricklin	`E682900`	entity
Predicate	awardReceived	`P11`	FINISHED
Object	MIT Corporate Leadership Award The MIT Corporate Leadership Award is a prestigious honor presented by the Massachusetts Institute of Technology to recognize outstanding innovation and leadership in business and technology.	`E487746`	NE FINISHED

How this triple was built (2 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: MIT Corporate Leadership Award | Statement: [Dan Bricklin, awardReceived, MIT Corporate Leadership Award]

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: MIT Corporate Leadership Award
Triple: [Dan Bricklin, awardReceived, MIT Corporate Leadership Award]

Generated description

The MIT Corporate Leadership Award is a prestigious honor presented by the Massachusetts Institute of Technology to recognize outstanding innovation and leadership in business and technology.

Provenance (5 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_69eefacf6e788190a75a64399d9e3109`	completed	April 27, 2026, 5:57 a.m.
NER	Named-entity recognition	`batch_69f62546c84081908bf91b3985efd0cb`	completed	May 2, 2026, 4:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12538724cc8190866b38a30f292d6a`	completed	May 24, 2026, 1:25 a.m.
NEDg	Description generation	`batch_6a12555a3498819093228f5ef37c748d`	completed	May 24, 2026, 1:33 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1255d7ba40819089319645efec0bd4`	completed	May 24, 2026, 1:35 a.m.

Created at: April 27, 2026, 9:23 a.m.