Triple
T18528811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TinyMCE |
E452784
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Tiny Technologies
Tiny Technologies is a software company best known for creating TinyMCE, a widely used open-source rich text editor for web applications.
|
E1328953
|
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: Tiny Technologies | Statement: [TinyMCE, developer, Tiny Technologies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiny Technologies Context triple: [TinyMCE, developer, Tiny Technologies]
-
A.
Tiny Rebels
Tiny Rebels is an album by The Cairo Gang, showcasing the band's indie rock sound and songwriting.
-
B.
Little Machines
Little Machines is a synth-pop album by Canadian singer-songwriter Lights, known for its catchy electronic sound and introspective lyrics.
-
C.
Teeny-Tiny
Teeny-Tiny is a short, traditional English folk tale best known from Joseph Jacobs’ collection "English Fairy Tales," featuring a very small woman whose eerie experience with a borrowed bone leads to a humorous ghostly refrain.
-
D.
Tiny
Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
-
E.
Tiny
Tiny was the ironic nickname of Edmund Ironside, the early 11th-century English king known for his strength and resistance against Danish invasion.
- 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: Tiny Technologies Triple: [TinyMCE, developer, Tiny Technologies]
Generated description
Tiny Technologies is a software company best known for creating TinyMCE, a widely used open-source rich text editor for web applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiny Technologies Target entity description: Tiny Technologies is a software company best known for creating TinyMCE, a widely used open-source rich text editor for web applications.
-
A.
Tiny Rebels
Tiny Rebels is an album by The Cairo Gang, showcasing the band's indie rock sound and songwriting.
-
B.
Little Machines
Little Machines is a synth-pop album by Canadian singer-songwriter Lights, known for its catchy electronic sound and introspective lyrics.
-
C.
Teeny-Tiny
Teeny-Tiny is a short, traditional English folk tale best known from Joseph Jacobs’ collection "English Fairy Tales," featuring a very small woman whose eerie experience with a borrowed bone leads to a humorous ghostly refrain.
-
D.
Tiny
Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
-
E.
Tiny
Tiny was the ironic nickname of Edmund Ironside, the early 11th-century English king known for his strength and resistance against Danish invasion.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fad2d081908395914d6a6b4eb1 |
completed | April 19, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049178ea1c819085480137adfb3841 |
completed | May 13, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a04921b1a508190b8bb6d6c4597ab99 |
completed | May 13, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0492ba4ea08190b59510b221ad5d21 |
completed | May 13, 2026, 3:03 p.m. |
Created at: April 10, 2026, 11:37 a.m.