Triple
T3636394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LisaProject |
E77077
|
entity |
| Predicate | contemporaryOf |
P6401
|
FINISHED |
| Object | LisaGraph |
E77076
|
NE FINISHED |
How this triple was built (2 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: LisaGraph | Statement: [LisaProject, contemporaryOf, LisaGraph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LisaGraph Context triple: [LisaProject, contemporaryOf, LisaGraph]
-
A.
LisaGraph
chosen
LisaGraph was a graphing and charting application included with Apple's Lisa computer, used to create visual data representations in the early graphical user interface environment.
-
B.
LisaDraw
LisaDraw was a pioneering graphical drawing and diagramming application for the Apple Lisa computer, notable for its early use of a mouse-driven, WYSIWYG interface.
-
C.
StarDraw
StarDraw is a vector graphics and diagramming application that was part of the StarOffice productivity suite.
-
D.
DAG
DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
-
E.
Graf
Graf is a historical German noble title roughly equivalent to a count in other European aristocratic systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3278bb8819098bbeac023410111 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488320c58819088f8cc677f675ec3 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.