Triple
T2585509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMac G3 |
E57187
|
entity |
| Predicate | colorVariant |
P60
|
FINISHED |
| Object |
Blue Dalmatian
Blue Dalmatian is a distinctive spotted blue-and-white color scheme used on certain models of Apple's translucent iMac G3 computers.
|
E279569
|
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: Blue Dalmatian | Statement: [iMac G3, colorVariant, Blue Dalmatian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Dalmatian Context triple: [iMac G3, colorVariant, Blue Dalmatian]
-
A.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
B.
Prancer
Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
C.
Ralphie the Greyhound
Ralphie the Greyhound is the athletic mascot of Eastern New Mexico University, represented as a swift greyhound symbolizing the school’s spirit and sports teams.
-
D.
Laika
Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
-
E.
Calico
Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
- 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: Blue Dalmatian Triple: [iMac G3, colorVariant, Blue Dalmatian]
Generated description
Blue Dalmatian is a distinctive spotted blue-and-white color scheme used on certain models of Apple's translucent iMac G3 computers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blue Dalmatian Target entity description: Blue Dalmatian is a distinctive spotted blue-and-white color scheme used on certain models of Apple's translucent iMac G3 computers.
-
A.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
B.
Prancer
Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
C.
Ralphie the Greyhound
Ralphie the Greyhound is the athletic mascot of Eastern New Mexico University, represented as a swift greyhound symbolizing the school’s spirit and sports teams.
-
D.
Laika
Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
-
E.
Calico
Calico is a research and development company founded by Google that focuses on understanding aging and developing technologies to extend human lifespan.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3cd07588190b3cb8cc348f12938 |
completed | March 7, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6581f6fc819099ea28ecbb0093d7 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af67bbd6048190aaa091e6ce8cdd23 |
completed | March 10, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6839cd1c81909ef772cda4bd2f9c |
completed | March 10, 2026, 12:39 a.m. |
Created at: March 6, 2026, 9:49 p.m.