Triple
T12029971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheriff John T. Chance |
E286376
|
entity |
| Predicate | hasAlly |
P600
|
FINISHED |
| Object | Colorado Ryan |
E286378
|
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: Colorado Ryan | Statement: [Sheriff John T. Chance, hasAlly, Colorado Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colorado Ryan Context triple: [Sheriff John T. Chance, hasAlly, Colorado Ryan]
-
A.
Colorado Ryan
chosen
Colorado Ryan is a young, skilled gunslinger and ally of Sheriff John T. Chance in the classic 1959 Western film "Rio Bravo."
-
B.
Brad Oscar
Brad Oscar is an American stage actor and singer best known for his comedic roles in major Broadway musicals, including his acclaimed work in Mel Brooks’s The Producers.
-
C.
Arizona Robbins
Arizona Robbins is a fictional pediatric surgeon on the television series Grey’s Anatomy, known for her upbeat personality, strong surgical skills, and impactful LGBTQ+ storyline.
-
D.
Ryan Gravel
Ryan Gravel is an urban planner and designer best known for conceiving the Atlanta BeltLine, a transformative redevelopment and transit project encircling Atlanta.
-
E.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
- 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_69d903f24490819092ec911d6ed8e24b |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b8d37ec81908d4a1668e932ca5b |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 8, 2026, 9:47 p.m.