Triple
T10201592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riddick |
E238894
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Noah Danby |
E786011
|
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: Noah Danby | Statement: [Riddick, starring, Noah Danby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Danby Context triple: [Riddick, starring, Noah Danby]
-
A.
Noah Danby
chosen
Noah Danby is a Canadian actor known for his work in science fiction and action television series and films.
-
B.
Noah Hanifin
Noah Hanifin is an American professional ice hockey defenseman who has played in the NHL after starring as a top collegiate player at Boston College.
-
C.
Noah Segan
Noah Segan is an American actor best known for his frequent collaborations with director Rian Johnson, including roles in films like "Looper" and "Knives Out."
-
D.
Noah Taylor
Noah Taylor is an Australian actor known for his character roles in films such as "Shine," "Almost Famous," and "Game of Thrones."
-
E.
Noah Young
Noah Young was an American silent film actor and comedian best known for his supporting roles alongside Harold Lloyd in early 20th-century slapstick comedies.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317fcdf18819092d0f3f216edffdc |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.