Triple

T26631497
Position Surface form Disambiguated ID Type / Status
Subject Gerry Bertier E668505 entity
Predicate honoredBy P500 FINISHED
Object Gerry Bertier Memorial Fund
The Gerry Bertier Memorial Fund is a charitable organization established to honor the legacy of high school football player Gerry Bertier by supporting individuals with spinal cord injuries and related causes.
E1733557 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: Gerry Bertier Memorial Fund | Statement: [Gerry Bertier, honoredBy, Gerry Bertier Memorial Fund]
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: Gerry Bertier Memorial Fund
Triple: [Gerry Bertier, honoredBy, Gerry Bertier Memorial Fund]
Generated description
The Gerry Bertier Memorial Fund is a charitable organization established to honor the legacy of high school football player Gerry Bertier by supporting individuals with spinal cord injuries and related causes.

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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615ee0ff48190a1f63d26cb7aa9f9 completed May 2, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec383c5881909a3834d581192625 completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ecf53a20819083a0f23be7d859a4 completed May 23, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a11edae81bc8190aa626f0cd67562d9 completed May 23, 2026, 6:10 p.m.
Created at: April 27, 2026, 2:25 a.m.