Triple
T8471624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memory Manager |
E200292
|
entity |
| Predicate | providesAPI |
P1395
|
FINISHED |
| Object |
MaxMem
MaxMem is a software component that offers an API for managing and optimizing memory usage within applications.
|
E200292
|
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: MaxMem | Statement: [Memory Manager, providesAPI, MaxMem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MaxMem Context triple: [Memory Manager, providesAPI, MaxMem]
-
A.
MAX
MAX is a family of low-cost, high-density CPLD (Complex Programmable Logic Device) products developed by Altera for implementing customizable digital logic functions.
-
B.
MAX
MAX is the Portland metropolitan area’s light rail transit system, operated by TriMet and serving multiple lines across the region.
-
C.
MAX
MAX is a Marvel Comics imprint created for mature readers, featuring darker, more explicit stories often starring grittier versions of established characters.
-
D.
Memory Manager
Memory Manager is a classic Macintosh system software component responsible for allocating, tracking, and organizing application and system memory.
-
E.
MAXI
MAXI is an X-ray astronomy mission that continuously monitors the sky for high-energy phenomena such as black hole outbursts, neutron star activity, and other transient cosmic events.
- 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: MaxMem Triple: [Memory Manager, providesAPI, MaxMem]
Generated description
MaxMem is a software component that offers an API for managing and optimizing memory usage within applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MaxMem Target entity description: MaxMem is a software component that offers an API for managing and optimizing memory usage within applications.
-
A.
MAX
MAX is the Portland metropolitan area’s light rail transit system, operated by TriMet and serving multiple lines across the region.
-
B.
MAX
MAX is a family of low-cost, high-density CPLD (Complex Programmable Logic Device) products developed by Altera for implementing customizable digital logic functions.
-
C.
MAX
MAX is a Marvel Comics imprint created for mature readers, featuring darker, more explicit stories often starring grittier versions of established characters.
-
D.
Memory Manager
chosen
Memory Manager is a classic Macintosh system software component responsible for allocating, tracking, and organizing application and system memory.
-
E.
MAXI
MAXI is an X-ray astronomy mission that continuously monitors the sky for high-energy phenomena such as black hole outbursts, neutron star activity, and other transient cosmic events.
- F. None of above.
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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39fc9bf481908e37919b13465d18 |
completed | April 2, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ce3b1e188c8190ad894478141f6501 |
completed | April 2, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3bfd00948190b3956be3f8c5d547 |
completed | April 2, 2026, 9:50 a.m. |
Created at: March 30, 2026, 6:11 p.m.