Triple
T17944648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nate Fisher |
E448672
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Ruth Fisher |
—
|
NE NERFINISHED |
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 Fisher | Statement: [Nate Fisher, mother, Ruth Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Fisher Context triple: [Nate Fisher, mother, Ruth Fisher]
-
A.
Ruth Fisher
chosen
Ruth Fisher is a central character in the television drama "Six Feet Under," portrayed as the emotionally complex matriarch of the Fisher family who struggles with grief, identity, and independence.
-
B.
Ruth Batchelor
Ruth Batchelor was an American songwriter, music journalist, and prominent advocate for songwriters’ rights, known for co-founding the Los Angeles Songwriters Showcase.
-
C.
Ruth Cosgrove
Ruth Cosgrove was the wife of American comedian and television pioneer Milton Berle.
-
D.
Ruth Riley
Ruth Riley is a former American professional basketball center best known for starring at Notre Dame and winning WNBA championships and a Finals MVP award with the Detroit Shock.
-
E.
Ruth Myers
Ruth Myers is an acclaimed British costume designer known for her imaginative and character-defining work on numerous films and television productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9819a88190ad4ea7d562cf3f28 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.