Triple
T4832275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | del.icio.us |
E107970
|
entity |
| Predicate | subsequentOwner |
P12936
|
FINISHED |
| Object | Science Inc. |
E107972
|
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: Science Inc. | Statement: [del.icio.us, subsequentOwner, Science Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Science Inc. Context triple: [del.icio.us, subsequentOwner, Science Inc.]
-
A.
Science Inc.
chosen
Science Inc. is a consumer products company known for developing and marketing innovative, data-driven brands such as the meal replacement drink Soylent.
-
B.
Mr. Science
Mr. Science is a symbolic figure representing the ideals of modern scientific rationality and progress that Chinese intellectuals championed during the May Fourth Movement.
-
C.
Innoventions
Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
-
D.
In the Name of Science
In the Name of Science is the original title of Martin Gardner’s influential 1950 book critically examining pseudoscience and popular scientific misconceptions.
-
E.
Sayanci
Sayanci is a West Chadic language spoken in parts of northern Nigeria.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7162427c81908a67a07545f698ae |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd4224c8190be7568bb611f81a3 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.