Triple
T11376034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra |
E269471
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Ken Williams |
E910680
|
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: Ken Williams | Statement: [Sierra, foundedBy, Ken Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Williams Context triple: [Sierra, foundedBy, Ken Williams]
-
A.
Ken Williams
Ken Williams is an American baseball executive best known for building and overseeing the Chicago White Sox team that ended the franchise’s long championship drought with a World Series title in 2005.
-
B.
Ken Williams
chosen
Ken Williams is an American software entrepreneur best known as the co-founder and longtime leader of the pioneering video game company Sierra Entertainment.
-
C.
Roger Wilson
Roger Wilson is a character who appears alongside Roger Chillingworth in Nathaniel Hawthorne’s classic novel "The Scarlet Letter."
-
D.
John Barry Humphries
John Barry Humphries was an Australian comedian, actor, satirist, and writer best known for creating the flamboyant character Dame Edna Everage.
-
E.
Billy Wilson
Billy Wilson was an acclaimed American choreographer and director known for his work on Broadway and in dance companies, blending jazz, ballet, and theatrical styles.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8e6d44819095f949581421e98e |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55697b2388190929d7e0b15d809ba |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:33 p.m.