Triple
T8295519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Warrick |
E194204
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ruth |
E693375
|
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 Warrick, givenName, Ruth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Context triple: [Ruth Warrick, givenName, Ruth]
-
A.
Ruth
Ruth is a supporting character in the comedy Western film "A Million Ways to Die in the West," known for being a devout Christian prostitute engaged to the protagonist's best friend.
-
B.
Ruth
Ruth is a character in Gilbert and Sullivan's comic opera "The Pirates of Penzance," known as the pirate apprentice Frederic's former nursemaid and a source of much of the opera's humor and confusion.
-
C.
Ruth
"Ruth" is a philosophical novel by Lou Andreas-Salomé that explores themes of identity, love, and spiritual longing through the inner life of its female protagonist.
-
D.
Ruth
chosen
Ruth is a feminine given name of Hebrew origin meaning "friend" or "companion," widely used in English-speaking countries.
-
E.
Ruth
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.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df73d4c81909ad9cf0786eb5a20 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68a3258481908fe04fed1d00c9ba |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.