Triple

T2085278
Position Surface form Disambiguated ID Type / Status
Subject Diana Vagelos E45334 entity
Predicate associatedWithDonation P21088 FINISHED
Object endowments at Columbia University LITERAL 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: endowments at Columbia University | Statement: [Diana Vagelos, associatedWithDonation, endowments at Columbia University]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithDonation
Context triple: [Diana Vagelos, associatedWithDonation, endowments at Columbia University]
  • A. associatedCharity
    Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
  • B. donated
    Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
  • C. notableDonor chosen
    Indicates that one entity is a significant or prominent donor to another entity, typically through substantial or noteworthy contributions.
  • D. associatedWithFlag
    Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
  • E. isAssociatedWith
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • F. None of above.

Provenance (3 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba53d4488190a7d9eabcb6904e8e completed March 7, 2026, 5:40 a.m.
PD Predicate disambiguation batch_69abb7b298a48190b4bdf7c9800b058d completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:41 p.m.