Triple
T17007723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AIChE William H. Walker Award |
E412613
|
entity |
| Predicate | hasRecipientField |
P126181
|
FINISHED |
| Object | chemical engineering |
—
|
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: chemical engineering | Statement: [AIChE William H. Walker Award, hasRecipientField, chemical engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecipientField Context triple: [AIChE William H. Walker Award, hasRecipientField, chemical engineering]
-
A.
hasRecipientRole
Indicates that a specified entity serves as the recipient or target role in a given interaction, transaction, or relationship.
-
B.
hasFirstRecipient
Indicates that an entity is the initial or primary recipient of something (such as a message, award, or transfer) in a sequence or set of recipients.
-
C.
hasTypeOfRecipient
Indicates that an entity is associated with a specific category or kind of recipient it is intended for or directed to.
-
D.
hasRecipientWork
Indicates that a work (such as a document, message, or creative piece) is directed or assigned to a specific recipient entity.
-
E.
hasRecipientQuality
Indicates that a recipient possesses or is characterized by a particular quality or attribute.
- F. None of above. chosen
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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3841e48819086dbc383cb4b1c16 |
completed | April 18, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e378e037c88190935d732e0f10d5d7 |
completed | April 18, 2026, 12:28 p.m. |
Created at: April 10, 2026, 5:32 a.m.