Triple
T4832513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Mullenweg |
E107976
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mullenweg |
E107976
|
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: Mullenweg | Statement: [Matt Mullenweg, familyName, Mullenweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mullenweg Context triple: [Matt Mullenweg, familyName, Mullenweg]
-
A.
Matt Mullenweg
chosen
Matt Mullenweg is an American entrepreneur and developer best known as the co-founder of WordPress and CEO of Automattic.
-
B.
Lerdorf
Lerdorf is the surname of Rasmus Lerdorf, the Danish-Canadian programmer best known as the creator of the PHP scripting language.
-
C.
Dries Buytaert
Dries Buytaert is a Belgian open-source software developer and entrepreneur best known as the creator and project lead of the Drupal content management system.
-
D.
Dave Hoover
Dave Hoover is a software developer and author known for his work on agile practices and the book "Apprenticeship Patterns."
-
E.
Ted Wheeler
Ted Wheeler is an American politician and member of the Democratic Party who has served as the mayor of Portland, Oregon, overseeing the city through periods of significant protest and policy debate.
- 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_69bd6cc924e08190b03a7541c629aff9 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd744688190a420580e3a8332ff |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.