Triple
T6916362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WordPress |
E160063
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Mike Little |
E160063
|
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: Mike Little | Statement: [WordPress, coFounder, Mike Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Little Context triple: [WordPress, coFounder, Mike Little]
-
A.
Mike Little
chosen
Mike Little is a British software developer best known as the co‑founder and original co-author of the WordPress content management system.
-
B.
Neil Little
Neil Little is a former professional ice hockey goaltender best known for his time in the Philadelphia Flyers organization and his standout minor league career.
-
C.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
-
D.
Michael Small
Michael Small was an American film composer best known for his suspenseful and atmospheric scores for 1970s and 1980s thrillers.
-
E.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9dec058819094d1913a1e5218c0 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7491589c08190982a84f2b61b497b |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:26 p.m.