Triple
T14137737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jef Raskin |
E350340
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Canon Cat |
E1082421
|
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: Canon Cat | Statement: [Jef Raskin, designed, Canon Cat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canon Cat Context triple: [Jef Raskin, designed, Canon Cat]
-
A.
Canon Cat
chosen
Canon Cat is a text-centric, single-tasking personal computer from the late 1980s designed by Jef Raskin to emphasize efficiency and a streamlined user interface.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
D.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
-
E.
the Cat
The Cat is a sly, cautious feline character in Sergei Prokofiev’s musical fairy tale "Peter and the Wolf," represented by the clarinet in the orchestra.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610fb86c81909eb26bf9c13696ca |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193728d88190acdb08ad0cf8b394 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 12:38 a.m.