Triple
T29181883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Address Generator Unit |
E739764
|
entity |
| Predicate | successorInChipset |
P195582
|
FINISHED |
| Object |
Alice
Alice is a more advanced generation of the Address Generator Unit chipset, designed to improve address computation performance and efficiency in digital systems.
|
E1853024
|
NE FINISHED |
How this triple was built (3 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: Alice | Statement: [Address Generator Unit, successorInChipset, Alice]
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: Alice Triple: [Address Generator Unit, successorInChipset, Alice]
Generated description
Alice is a more advanced generation of the Address Generator Unit chipset, designed to improve address computation performance and efficiency in digital systems.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInChipset Context triple: [Address Generator Unit, successorInChipset, Alice]
-
A.
predecessorChipset
Indicates that one chipset directly precedes another in a developmental or generational sequence.
-
B.
successorEngineFamily
Indicates that one engine family directly follows and replaces another in a product or development lineage.
-
C.
platformSuccessor
Indicates that one platform directly follows or replaces another in a sequence or evolution of platforms.
-
D.
successorSystem
Indicates that one system directly follows and replaces another in function, role, or version.
-
E.
successorModel
Indicates that one model is the direct follow-up or replacement for another earlier model.
- F. None of above. chosen
Provenance (7 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a255066468081908a452b48d34da849 |
completed | June 7, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_6a25549d699c8190ae6875c3b3ca5786 |
completed | June 7, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2558a79dbc8190aab5673a45547d65 |
completed | June 7, 2026, 11:40 a.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69fddac42c4081908568649058e86458 |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 28, 2026, 11:57 a.m.