Triple
T1035625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peabody Institutional Award |
E22354
|
entity |
| Predicate | notableTypeOfRecipient |
P4026
|
FINISHED |
| Object | media organizations |
—
|
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: media organizations | Statement: [Peabody Institutional Award, notableTypeOfRecipient, media organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTypeOfRecipient Context triple: [Peabody Institutional Award, notableTypeOfRecipient, media organizations]
-
A.
notableRecipientType
chosen
Indicates that an entity is notably recognized as a recipient of something (such as an award, honor, or distinction) of a specified type.
-
B.
notableRecipient
Indicates that an entity has received a notable award, honor, or recognition from another entity.
-
C.
notableFieldOfRecipients
Indicates that the recipients are notable or recognized specifically in a particular field or area of expertise.
-
D.
notableDonor
Indicates that one entity is a significant or prominent donor to another entity, typically through substantial or noteworthy contributions.
-
E.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b728ad3481909cf1430349cb9bba |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.