Triple
T18591418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICL 1900 series |
E454376
|
entity |
| Predicate | operatingSystem |
P1593
|
FINISHED |
| Object |
MAXIMOP
MAXIMOP was an operating system developed for ICL’s 1900 series mainframe computers, providing multi-programming and batch processing capabilities.
|
E1332098
|
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: MAXIMOP | Statement: [ICL 1900 series, operatingSystem, MAXIMOP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAXIMOP Context triple: [ICL 1900 series, operatingSystem, MAXIMOP]
-
A.
Maxim
Maxim is a masculine given name of Latin origin, commonly used in Slavic and other European countries.
-
B.
Max-D
Max-D is a famous Monster Jam freestyle and racing monster truck known for its spiked body, aggressive design, and high-flying stunts.
-
C.
MAXR
MAXR is the stock ticker symbol for Maxar Technologies, a company specializing in satellite imagery, geospatial intelligence, and space infrastructure solutions.
-
D.
MAX
MAX is a Marvel Comics imprint created for mature readers, featuring darker, more explicit stories often starring grittier versions of established characters.
-
E.
MAX
MAX is the Portland metropolitan area’s light rail transit system, operated by TriMet and serving multiple lines across the region.
- 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: MAXIMOP Triple: [ICL 1900 series, operatingSystem, MAXIMOP]
Generated description
MAXIMOP was an operating system developed for ICL’s 1900 series mainframe computers, providing multi-programming and batch processing capabilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MAXIMOP Target entity description: MAXIMOP was an operating system developed for ICL’s 1900 series mainframe computers, providing multi-programming and batch processing capabilities.
-
A.
Maxim
Maxim is a masculine given name of Latin origin, commonly used in Slavic and other European countries.
-
B.
Max-D
Max-D is a famous Monster Jam freestyle and racing monster truck known for its spiked body, aggressive design, and high-flying stunts.
-
C.
MAXR
MAXR is the stock ticker symbol for Maxar Technologies, a company specializing in satellite imagery, geospatial intelligence, and space infrastructure solutions.
-
D.
MAX
MAX is a Marvel Comics imprint created for mature readers, featuring darker, more explicit stories often starring grittier versions of established characters.
-
E.
MAX
MAX is the Portland metropolitan area’s light rail transit system, operated by TriMet and serving multiple lines across the region.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b5bc688190bdfe3911ac6b2d76 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f898b59481909aa72291b24a4cd0 |
completed | May 13, 2026, 10:18 p.m. |
| NEDg | Description generation | batch_6a04fc705b3481908bea3e5f6ce33f1e |
completed | May 13, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04fcc66ddc819094d427390e7c3774 |
completed | May 13, 2026, 10:35 p.m. |
Created at: April 10, 2026, 11:44 a.m.