Triple
T3949688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Moffat |
E84832
|
entity |
| Predicate | coCreatorOf |
P806
|
FINISHED |
| Object | Jekyll |
E402805
|
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: Jekyll | Statement: [Steven Moffat, coCreatorOf, Jekyll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jekyll Context triple: [Steven Moffat, coCreatorOf, Jekyll]
-
A.
Jekyll
chosen
Jekyll is a 2007 British television drama series created by Steven Moffat that offers a modern, suspenseful reimagining of Robert Louis Stevenson’s classic Dr. Jekyll and Mr. Hyde story.
-
B.
Jekyll static site generator
Jekyll is a popular open-source static site generator, written in Ruby, that transforms plain text files into simple, blog-aware websites without requiring a database.
-
C.
Rubinius
Rubinius is an alternative Ruby implementation featuring a virtual machine and just-in-time compilation, designed for high performance and concurrency.
-
D.
Markdown
Markdown is a lightweight markup language that uses plain-text formatting syntax to create structured documents, most commonly used for README files, documentation, and web content.
-
E.
GitHub Pages
GitHub Pages is a static site hosting service that lets users publish web pages directly from their GitHub repositories.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef91227a8819097c3a5a206792382 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53ffc49f48190949d14113031dd85 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:30 p.m.