Triple
T18591420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICL 1900 series |
E454376
|
entity |
| Predicate | operatingSystem |
P1593
|
FINISHED |
| Object |
JOSS
JOSS is an early interactive time-sharing programming language and system used on mainframe computers like the ICL 1900 series for conversational problem solving.
|
E1332100
|
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: JOSS | Statement: [ICL 1900 series, operatingSystem, JOSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JOSS Context triple: [ICL 1900 series, operatingSystem, JOSS]
-
A.
Jois
Jois is a small wine-growing village and municipality in the Burgenland region of eastern Austria, near Lake Neusiedl.
-
B.
Joss
Joss is a surname most notably associated with the fictional philosopher and religious scholar Palmer Joss from Carl Sagan’s novel and the film adaptation "Contact."
-
C.
Jo Jo
Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
-
D.
Joos
Joos is a given name and surname of Dutch and Germanic origin, used both historically and in contemporary contexts.
-
E.
Jo-Jo
Jo-Jo is a young child character from the film "Baby Boy," appearing as the son of Yvette.
- 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: JOSS Triple: [ICL 1900 series, operatingSystem, JOSS]
Generated description
JOSS is an early interactive time-sharing programming language and system used on mainframe computers like the ICL 1900 series for conversational problem solving.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JOSS Target entity description: JOSS is an early interactive time-sharing programming language and system used on mainframe computers like the ICL 1900 series for conversational problem solving.
-
A.
Jois
Jois is a small wine-growing village and municipality in the Burgenland region of eastern Austria, near Lake Neusiedl.
-
B.
Joss
Joss is a surname most notably associated with the fictional philosopher and religious scholar Palmer Joss from Carl Sagan’s novel and the film adaptation "Contact."
-
C.
Jo Jo
Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
-
D.
Joos
Joos is a given name and surname of Dutch and Germanic origin, used both historically and in contemporary contexts.
-
E.
Jo-Jo
Jo-Jo is a young child character from the film "Baby Boy," appearing as the son of Yvette.
- 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.