Triple
T15625018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RED (2010 film) |
E375656
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Sarah Ross |
E848096
|
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: Sarah Ross | Statement: [RED (2010 film), mainCharacter, Sarah Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Ross Context triple: [RED (2010 film), mainCharacter, Sarah Ross]
-
A.
Sarah Ross
chosen
Sarah Ross is a retired CIA analyst drawn back into the world of espionage and action in the comedy-action film "Red 2."
-
B.
Rose Ross
Rose Ross is a central character in the 2015 Western film "Slow West," around whom much of the story’s journey and conflict revolve.
-
C.
Charlotte Ross
Charlotte Ross is an American actress best known for her television roles on series such as NYPD Blue, Days of Our Lives, and Glee.
-
D.
Sarah Kirkpatrick
Sarah Kirkpatrick was the wife of prominent 18th-century American Presbyterian minister and educator Samuel Davies.
-
E.
Mary Brian Stapler Ross
Mary Brian Stapler Ross was the wife of American Revolutionary War figure John Ross and a member of Philadelphia’s prominent Stapler family.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678c9d8c8190be73b6e7ed558e99 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.