Triple
T10916574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Negga |
E257839
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ruth |
E2634
|
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: Ruth | Statement: [Ruth Negga, givenName, Ruth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Context triple: [Ruth Negga, givenName, Ruth]
-
A.
Ruth
chosen
Ruth is the given name of Ruth Bader Ginsburg, the pioneering U.S. Supreme Court Justice and prominent advocate for gender equality and civil rights.
-
B.
Ruth
Ruth is the surname of Babe Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
-
C.
Ruth
Ruth is the central protagonist of the 1989 German drama film "The Rose Garden," around whom the story’s emotional and moral conflicts revolve.
-
D.
Ruth
Ruth is the middle name of Leslie Ruth Howard, an individual likely known in relation to the Howard family.
-
E.
Ruth
Ruth is the daughter of Cece Parekh in the television series "New Girl."
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707deb608190903b1066e19600d3 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216c69b088190b8fa192cd8fe23ed |
completed | April 17, 2026, 11:17 a.m. |
Created at: April 8, 2026, 9:22 p.m.