Triple
T14894805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Fries |
E359843
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fries |
E560703
|
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: Fries | Statement: [Mike Fries, familyName, Fries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fries Context triple: [Mike Fries, familyName, Fries]
-
A.
Fries
chosen
Fries is a surname most notably associated with Elias Magnus Fries, a pioneering Swedish mycologist often regarded as a founder of modern fungal taxonomy.
-
B.
Fried
Fried is the surname of Elaine de Kooning, an influential American Abstract Expressionist painter and art critic associated with the New York School.
-
C.
Tater Tot
"Tater Tot" is a track by rapper Talib Kweli from his album *Gutter Rainbows*.
-
D.
McNuggets
McNuggets are McDonald’s signature bite-sized, breaded and fried chicken pieces that have become one of the fast-food chain’s most iconic menu items.
-
E.
Filet-O-Fish
Filet-O-Fish is a popular McDonald’s sandwich featuring a breaded fish patty, tartar sauce, and a steamed bun, often associated with Lent-friendly fast-food options.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:10 a.m.