Triple
T20660595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrtle Fillmore |
E507749
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fillmore |
—
|
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: Fillmore | Statement: [Myrtle Fillmore, familyName, Fillmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fillmore Context triple: [Myrtle Fillmore, familyName, Fillmore]
-
A.
Fillmore
Fillmore is a small agricultural city in Ventura County, California, known for its historic downtown and citrus and avocado groves.
-
B.
Fillmore
Fillmore is a small city in central Utah that briefly served as the territorial capital in the mid-19th century and is now a local agricultural and service hub.
-
C.
Fillmore
chosen
Fillmore is a surname most notably associated with Millard Fillmore, the 13th president of the United States, and his wife Abigail Fillmore.
-
D.
Fillmore
Fillmore is a laid-back, hippie Volkswagen bus character from Pixar's Cars franchise known for his love of organic fuel and groovy lifestyle.
-
E.
Millard Powers Fillmore
Millard Powers Fillmore was the son of U.S. President Millard Fillmore, known primarily for his role as his father's private secretary and for managing the family estate.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f16adc8190b2b9a69586fa7444 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.