Triple
T38542133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quadracci family |
E924860
|
entity |
| Predicate | hasMajorDonationRecipient |
P21088
|
FINISHED |
| Object | Milwaukee Art Museum |
E55023
|
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: Milwaukee Art Museum | Statement: [Quadracci family, hasMajorDonationRecipient, Milwaukee Art Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorDonationRecipient Context triple: [Quadracci family, hasMajorDonationRecipient, Milwaukee Art Museum]
-
A.
hasDonationsFrom
Indicates that an entity receives donations or contributions from another entity.
-
B.
notableDonor
chosen
Indicates that one entity is a significant or prominent donor to another entity, typically through substantial or noteworthy contributions.
-
C.
hasMadeDonationsTo
Indicates that one entity has given monetary or other forms of donations to another entity.
-
D.
donorOf
Indicates that one entity gives or contributes something (such as resources, organs, or materials) to another entity.
-
E.
hasDonationsDirected
Indicates that donations are purposefully allocated or directed from one entity to another or toward a specific target or cause.
- F. None of above.
Provenance (4 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea882a0c81909e716d07dc576e78 |
completed | June 29, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.