Triple
T7279053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel AES-NI |
E163102
|
entity |
| Predicate | includesInstruction |
P69226
|
FINISHED |
| Object |
AESENCLAST
AESENCLAST is an Intel AES-NI hardware instruction that performs the final round of AES encryption on a data block to accelerate cryptographic operations.
|
E653452
|
NE FINISHED |
How this triple was built (4 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: AESENCLAST | Statement: [Intel AES-NI, includesInstruction, AESENCLAST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AESENCLAST Context triple: [Intel AES-NI, includesInstruction, AESENCLAST]
-
A.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
B.
DAViCal
DAViCal is an open-source CalDAV server application used for managing and sharing calendar data over the web.
-
C.
Biktarvy
Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
-
D.
Onpattro
Onpattro is an RNA interference (RNAi) therapeutic used to treat polyneuropathy in adults with hereditary transthyretin-mediated (hATTR) amyloidosis.
-
E.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AESENCLAST Triple: [Intel AES-NI, includesInstruction, AESENCLAST]
Generated description
AESENCLAST is an Intel AES-NI hardware instruction that performs the final round of AES encryption on a data block to accelerate cryptographic operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AESENCLAST Target entity description: AESENCLAST is an Intel AES-NI hardware instruction that performs the final round of AES encryption on a data block to accelerate cryptographic operations.
-
A.
Darzalex
Darzalex is a monoclonal antibody drug (daratumumab) used primarily in the treatment of multiple myeloma.
-
B.
DAViCal
DAViCal is an open-source CalDAV server application used for managing and sharing calendar data over the web.
-
C.
Biktarvy
Biktarvy is a prescription combination antiretroviral medication used to treat HIV-1 infection in adults and certain children.
-
D.
Onpattro
Onpattro is an RNA interference (RNAi) therapeutic used to treat polyneuropathy in adults with hereditary transthyretin-mediated (hATTR) amyloidosis.
-
E.
Anpezan
Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
- F. None of above. chosen
Provenance (5 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb3251808190bd9da71bc183c945 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3450208190b67e4329a531ad0c |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dc567004819089c6c4b5322f275f |
completed | March 28, 2026, 1:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dd18f8d481908bd7ac86e4388ce5 |
completed | March 28, 2026, 1:52 p.m. |
Created at: March 27, 2026, 2:59 p.m.