Triple
T12025200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | rsync |
E286257
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Paul Mackerras |
E959744
|
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: Paul Mackerras | Statement: [rsync, developer, Paul Mackerras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Mackerras Context triple: [rsync, developer, Paul Mackerras]
-
A.
Paul Mackerras
chosen
Paul Mackerras is an Australian computer programmer best known for his work on the rsync file synchronization algorithm and his contributions to open-source software.
-
B.
Roy Harris
Roy Harris was an influential 20th-century American composer best known for his symphonies that drew on folk traditions and a distinctly national musical style.
-
C.
Barry Ackroyd
Barry Ackroyd is a British cinematographer renowned for his gritty, handheld visual style in films such as The Hurt Locker, United 93, and Captain Phillips.
-
D.
Sir Christopher Holland
Sir Christopher Holland is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
-
E.
George Fenton
George Fenton is a British composer best known for his acclaimed scores for film and landmark nature documentaries, including several BBC series.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903f02638819091e0cc0e93fa5ea7 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d4f4c80819082ffc0c5aa3505a0 |
completed | May 1, 2026, 12:32 p.m. |
Created at: April 8, 2026, 9:47 p.m.