Triple
T2697287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honorary Doctorate from Harvard University |
E58540
|
entity |
| Predicate | isNonMonetary |
P20937
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Honorary Doctorate from Harvard University, isNonMonetary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonMonetary Context triple: [Honorary Doctorate from Harvard University, isNonMonetary, true]
-
A.
hasMonetaryComponent
chosen
Indicates that something includes, involves, or is associated with a monetary or financial element.
-
B.
hasMonetaryGrant
Indicates that an entity provides or receives a monetary grant from another entity.
-
C.
isNonCommercial
Indicates that the associated entity, use, or activity is not intended for or involved in commercial, profit-generating purposes.
-
D.
nonTransferable
Indicates that a right, asset, or privilege cannot be legally or contractually transferred from one party to another.
-
E.
notRedeemableFor
Indicates that something cannot be exchanged, converted, or used to obtain another specified item, service, or benefit.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda322af48190833b8a3c006db236 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.