Triple
T11376060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra |
E269471
|
entity |
| Predicate | hasNotableDesigner |
P184
|
FINISHED |
| Object | Al Lowe |
E910688
|
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: Al Lowe | Statement: [Sierra, hasNotableDesigner, Al Lowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Lowe Context triple: [Sierra, hasNotableDesigner, Al Lowe]
-
A.
Al Lowe
chosen
Al Lowe is an American video game designer best known as the creator of the comedic adventure series Leisure Suit Larry for Sierra.
-
B.
Jack Livingston
Jack Livingston was an American silent film actor active in the early 20th century.
-
C.
David Leland
David Leland is a British screenwriter and director known for his gritty social dramas and collaborations with filmmaker Alan Clarke.
-
D.
Jeff Glixman
Jeff Glixman is an American record producer best known for his work with rock bands such as Kansas and for producing influential albums in the 1970s and 1980s.
-
E.
William Asher
William Asher was a prominent American television and film director and producer, best known for shaping classic mid-20th-century TV comedies such as "I Love Lucy" and "Bewitched."
- 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.