Triple
T6242441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitchell Baker |
E139636
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mitchell Baker |
E139636
|
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: Mitchell Baker | Statement: [Mitchell Baker, name, Mitchell Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell Baker Context triple: [Mitchell Baker, name, Mitchell Baker]
-
A.
Mitchell Baker
chosen
Mitchell Baker is an American business leader and open-source advocate best known as the longtime chair and former CEO of Mozilla, where she has guided the development of the Firefox web browser and the organization’s internet-for-good mission.
-
B.
Bill Buxton
Bill Buxton is a pioneering computer scientist and designer known for his influential work in human-computer interaction, input technologies, and user experience design.
-
C.
Gordon Kahn
Gordon Kahn was an American screenwriter and journalist best known for his work in Hollywood during the 1930s and 1940s and for being blacklisted during the McCarthy era.
-
D.
Jonathan Schwartz
Jonathan Schwartz is a film producer best known for his work on acclaimed independent movies such as "Like Crazy."
-
E.
John Case
John Case is a relatively common personal name that may refer to multiple individuals across different fields, such as literature, academia, or public life.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631933488190838b424ec0fc2155 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24406809c8190a827a52abce88ecc |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:23 p.m.