Triple

T31788205
Position Surface form Disambiguated ID Type / Status
Subject College Hill campus of Brown University E811389 entity
Predicate hasPart P35 FINISHED
Object Stephen Robert ’62 Campus Center
The Stephen Robert ’62 Campus Center is a central hub for student life and activities at Brown University, housing social spaces, services, and events for the campus community.
 E1977291 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: Stephen Robert ’62 Campus Center | Statement: [College Hill campus of Brown University, hasPart, Stephen Robert ’62 Campus Center]
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: Stephen Robert ’62 Campus Center
Triple: [College Hill campus of Brown University, hasPart, Stephen Robert ’62 Campus Center]
Generated description
The Stephen Robert ’62 Campus Center is a central hub for student life and activities at Brown University, housing social spaces, services, and events for the campus community.

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_69f348e60748819082dcaa7792659803 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ac176b848190b9682ac08ea649e6 completed May 3, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d5e6ca881909b2dde705ab32673 completed June 13, 2026, 6:11 p.m.
NEDg Description generation batch_6a2d9e2593f4819092c89187e84af3c9 completed June 13, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_6a2d9f083f0481909184bb37c1ce0e7a completed June 13, 2026, 6:18 p.m.
Created at: April 30, 2026, 11:38 p.m.