Triple
T38357205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Allen Rawls |
E1046364
|
entity |
| Predicate | telethonBeneficiary |
P16661
|
FINISHED |
| Object | United Negro College Fund |
—
|
NE NERFINISHED |
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: United Negro College Fund | Statement: [Louis Allen Rawls, telethonBeneficiary, United Negro College Fund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: telethonBeneficiary Context triple: [Louis Allen Rawls, telethonBeneficiary, United Negro College Fund]
-
A.
otherBeneficiary
Indicates that an entity receives a benefit or advantage from something, in addition to the primary or explicitly named beneficiary.
-
B.
beneficiaryBody
Indicates that one entity serves as the benefiting body or organization that receives advantage, support, or services from another entity or action.
-
C.
beneficiaries
Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
-
D.
beneficiaryCreator
Indicates that one entity is the creator or originator of something that serves as a benefit or advantage to another entity.
-
E.
philanthropicBeneficiary
chosen
Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:31 p.m.