Triple
T16009560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Asriel |
E388302
|
entity |
| Predicate | kills |
P19780
|
FINISHED |
| Object | Roger Parslow (indirectly) |
E1189649
|
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: Roger Parslow (indirectly) | Statement: [Lord Asriel, kills, Roger Parslow (indirectly)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Parslow (indirectly) Context triple: [Lord Asriel, kills, Roger Parslow (indirectly)]
-
A.
Roger Parslow
chosen
Roger Parslow is a kitchen boy at Jordan College and Lyra Belacqua’s loyal childhood friend in Philip Pullman’s "His Dark Materials" series.
-
B.
Robert Paragot
Robert Paragot was a renowned French alpinist celebrated for his pioneering ascents in the mid-20th century and his influential role in the development of modern mountaineering.
-
C.
Peter Blunt
Peter Blunt is a brash, self-help–spouting real estate tycoon and comic foil in the 1988 golf comedy film *Caddyshack II*.
-
D.
Jonathan Penrose
Jonathan Penrose was a British chess grandmaster and psychologist, best known for winning the British Chess Championship ten times between 1958 and 1969.
-
E.
Paul Rogers
Paul Rogers is an American film editor best known for his Academy Award–winning work on the multiverse film "Everything Everywhere All at Once."
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828f8c688190a6b365f9140cd2d8 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe470cd5881909cc0c48b3a540d61 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:55 a.m.