Triple
T16009144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xenk Yendar |
E388294
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Simon Aumar |
E388291
|
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: Simon Aumar | Statement: [Xenk Yendar, associatedWith, Simon Aumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simon Aumar Context triple: [Xenk Yendar, associatedWith, Simon Aumar]
-
A.
Simon Aumar
chosen
Simon Aumar is a fledgling but resourceful sorcerer and descendant of the powerful Elminster who serves as a key member of the adventuring party in the film "Dungeons & Dragons: Honor Among Thieves."
-
B.
Anthony Veiller
Anthony Veiller was an American screenwriter known for his work on notable mid-20th-century films, including several acclaimed Hollywood dramas and thrillers.
-
C.
Simon Lamarre
Simon Lamarre is an automotive designer best known for his work on the Volvo C30 compact hatchback.
-
D.
Simon Després
Simon Després is a Canadian professional ice hockey defenceman who was drafted in the first round by the Pittsburgh Penguins and has played in the NHL and various international leagues.
-
E.
Stephen Hamel
Stephen Hamel is a film producer known for his work on science fiction and genre films, including the space-set romance thriller "Passengers."
- 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_69e1828e9e708190aec0078913bf098a |
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.