Triple
T10827174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matz |
E255523
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Matz |
E255523
|
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: Matz | Statement: [Matz, name, Matz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matz Context triple: [Matz, name, Matz]
-
A.
Matz
chosen
Matz is the nickname of Yukihiro Matsumoto, the Japanese software engineer best known as the creator of the Ruby programming language.
-
B.
Rubi
Rubi is a popular Arabic-language television drama series that helped boost Egyptian actor Amr Waked’s regional fame.
-
C.
Rubinius
Rubinius is an alternative Ruby implementation featuring a virtual machine and just-in-time compilation, designed for high performance and concurrency.
-
D.
Rake
Rake is a Ruby-based build automation tool similar to Make, used to define and run tasks via Ruby code.
-
E.
Rake
Rake is an Australian television legal comedy-drama series centered on a brilliant but self-destructive criminal defense barrister.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d2b9f88190b79a7b168d7836c8 |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8592d8f08190ac577395ad7cc557 |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:19 p.m.