Triple
T2585499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMac G3 |
E57187
|
entity |
| Predicate | colorVariant |
P60
|
FINISHED |
| Object |
Blueberry
Blueberry is a translucent light-blue color variant famously used on Apple’s early iMac G3 computers.
|
E279565
|
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: Blueberry | Statement: [iMac G3, colorVariant, Blueberry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blueberry Context triple: [iMac G3, colorVariant, Blueberry]
-
A.
Berry
Berry is a historic province in central France known for its rural landscapes, medieval heritage, and traditional French culture.
-
B.
Bluebird
"Bluebird" is a melodic, mid-tempo love song by Paul McCartney and Wings featured on their 1973 album *Band on the Run*.
-
C.
Bluebird
"Bluebird" is a 1989 country and folk-influenced studio album by American singer-songwriter Emmylou Harris, noted for its blend of traditional and contemporary material.
-
D.
Brown Sugar
"Brown Sugar" is a 1971 rock song by the Rolling Stones, known for its gritty guitar riff, controversial lyrics, and status as one of the band’s signature hits.
-
E.
Brown Sugar
Brown Sugar is a 2002 romantic comedy-drama film about lifelong friends navigating love and hip-hop in New York City, starring Taye Diggs and Sanaa Lathan.
- 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: Blueberry Triple: [iMac G3, colorVariant, Blueberry]
Generated description
Blueberry is a translucent light-blue color variant famously used on Apple’s early iMac G3 computers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blueberry Target entity description: Blueberry is a translucent light-blue color variant famously used on Apple’s early iMac G3 computers.
-
A.
Berry
Berry is a historic province in central France known for its rural landscapes, medieval heritage, and traditional French culture.
-
B.
Bluebird
"Bluebird" is a melodic, mid-tempo love song by Paul McCartney and Wings featured on their 1973 album *Band on the Run*.
-
C.
Bluebird
"Bluebird" is a 1989 country and folk-influenced studio album by American singer-songwriter Emmylou Harris, noted for its blend of traditional and contemporary material.
-
D.
Brown Sugar
"Brown Sugar" is a 1971 rock song by the Rolling Stones, known for its gritty guitar riff, controversial lyrics, and status as one of the band’s signature hits.
-
E.
Brown Sugar
Brown Sugar is a 2002 romantic comedy-drama film about lifelong friends navigating love and hip-hop in New York City, starring Taye Diggs and Sanaa Lathan.
- 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.