Triple
T16716694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendie Malick |
E406242
|
entity |
| Predicate | televisionSeries |
P3279
|
FINISHED |
| Object | Fillmore! |
E857145
|
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: Fillmore! | Statement: [Wendie Malick, televisionSeries, Fillmore!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fillmore! Context triple: [Wendie Malick, televisionSeries, Fillmore!]
-
A.
Fillmore!
chosen
Fillmore! is an early-2000s animated television series that parodies police procedurals by following a pair of safety patrol officers solving crimes in a middle school setting.
-
B.
Fillmore
Fillmore is a small agricultural city in Ventura County, California, known for its historic downtown and citrus and avocado groves.
-
C.
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.
-
D.
Fillmore
Fillmore is a surname most notably associated with Millard Fillmore, the 13th president of the United States, and his wife Abigail Fillmore.
-
E.
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.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38656b66081909f2c2a8971c45aee |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091ab9e54819097e71ce1616b28b5 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:20 a.m.