Triple
T15134048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Towkio |
E361505
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
WWW.
"WWW." is a music project by Chicago rapper Towkio, showcasing his eclectic, genre-blending hip-hop style.
|
E1137929
|
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: WWW. | Statement: [Towkio, notableWork, WWW.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WWW. Context triple: [Towkio, notableWork, WWW.]
-
A.
WWW
WWW is the commonly used abbreviation for the ACM Web Conference, a leading international research conference on web technologies and the World Wide Web.
-
B.
WWW
WWW is the standard abbreviation for World Weather Watch, a global program coordinated by the World Meteorological Organization to support international weather observation, data exchange, and forecasting.
-
C.
WWW7
WWW7 was the seventh International World Wide Web Conference, a major academic and industry event focused on web technologies and research.
-
D.
WEB
WEB is Donald Knuth’s original literate programming system that integrates Pascal source code with documentation in a single file to produce both compilable programs and high-quality typeset documentation.
-
E.
UWWW
UWWW is the ICAO airport code for Kurumoch International Airport, a major airport serving the Samara region in Russia.
- 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: WWW. Triple: [Towkio, notableWork, WWW.]
Generated description
"WWW." is a music project by Chicago rapper Towkio, showcasing his eclectic, genre-blending hip-hop style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WWW. Target entity description: "WWW." is a music project by Chicago rapper Towkio, showcasing his eclectic, genre-blending hip-hop style.
-
A.
WWW
WWW is the standard abbreviation for World Weather Watch, a global program coordinated by the World Meteorological Organization to support international weather observation, data exchange, and forecasting.
-
B.
WWW
WWW is the commonly used abbreviation for the ACM Web Conference, a leading international research conference on web technologies and the World Wide Web.
-
C.
WWW7
WWW7 was the seventh International World Wide Web Conference, a major academic and industry event focused on web technologies and research.
-
D.
WEB
WEB is Donald Knuth’s original literate programming system that integrates Pascal source code with documentation in a single file to produce both compilable programs and high-quality typeset documentation.
-
E.
UWWW
UWWW is the ICAO airport code for Kurumoch International Airport, a major airport serving the Samara region in Russia.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fd3c448190b4b06fdc1ab2c6a7 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8bb774481908272929358817440 |
completed | May 9, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9384b4c81909fe80dec3abc1659 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 10, 2026, 3:06 a.m.