Triple
T8246946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debian |
E192872
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Debra Lynn |
E758738
|
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: Debra Lynn | Statement: [Debian, namedAfter, Debra Lynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Lynn Context triple: [Debian, namedAfter, Debra Lynn]
-
A.
Debra Lynn
chosen
Debra Lynn is best known as the wife of Ian Murdock, the founder of the Debian operating system.
-
B.
Debra Karen
Debra Karen is a film editor best known for her work on the comedy movie "Meatballs."
-
C.
Debra Hayward
Debra Hayward is a British film producer known for her work on major feature films, including the acclaimed musical adaptation "Les Misérables" (2012).
-
D.
Debralee Scott
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
E.
Debra Hill
Debra Hill was an American film producer and screenwriter best known for co-writing and producing influential horror films such as "Halloween" alongside John Carpenter.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb787414508190a08cf47d1545ce50 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf8855a9c081909721a2efdc06d778 |
completed | April 3, 2026, 9:28 a.m. |
Created at: March 30, 2026, 5:48 p.m.