Triple
T15616255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa 2 |
E375418
|
entity |
| Predicate | codeName |
P744
|
FINISHED |
| Object | Lisa 2 |
E375418
|
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: Lisa 2 | Statement: [Lisa 2, codeName, Lisa 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa 2 Context triple: [Lisa 2, codeName, Lisa 2]
-
A.
Lisa 2
chosen
Lisa 2 is Apple's second-generation Lisa personal computer, an early graphical workstation that influenced the development of the Macintosh line.
-
B.
Lisa 1
Lisa 1 was Apple’s first commercial personal computer to feature a graphical user interface, designed as a high-end business workstation in the early 1980s.
-
C.
Can Lis
Can Lis is a celebrated cliffside house on the island of Mallorca, designed by Danish architect Jørn Utzon as his own Mediterranean residence and admired for its sculptural integration with the coastal landscape.
-
D.
Lis
Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
-
E.
"Lisa's Substitute"
"Lisa's Substitute" is a critically acclaimed episode of The Simpsons in which Lisa forms a deep bond with an inspiring substitute teacher, exploring themes of mentorship, identity, and emotional growth.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e980b748190b43c0b650bf1e629 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56dd1e4c819090bf3cd4425b39b7 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.