Triple
T7555505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose |
E178655
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Ross |
E87043
|
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: Ross | Statement: [Rose, hasVariant, Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Context triple: [Rose, hasVariant, Ross]
-
A.
Ross
chosen
Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
-
B.
Ross
Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
-
C.
Russ
Russ is a central white homeowner in Bruce Norris's play "Clybourne Park," whose grief and decisions over selling his house catalyze the drama’s exploration of race, property, and neighborhood change.
-
D.
Connell
Connell is a surname of Irish origin borne by various notable individuals across literature, sports, and public life.
-
E.
Williams
Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d82dd481908351876edc70c4ec |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856c20258819081761699228b8ba3 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:49 p.m.