Triple
T19574745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucretia Rudolph |
E489822
|
entity |
| Predicate | familyNameAfterMarriage |
P14292
|
FINISHED |
| Object | Garfield |
—
|
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: Garfield | Statement: [Lucretia Rudolph, familyNameAfterMarriage, Garfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garfield Context triple: [Lucretia Rudolph, familyNameAfterMarriage, Garfield]
-
A.
Garfield
chosen
Garfield is best known as the 20th president of the United States, whose term in 1881 was cut short by assassination.
-
B.
Garfield
Garfield is a famous orange comic-strip cat created by Jim Davis, known for his laziness, love of lasagna, and sarcastic attitude.
-
C.
Garfield
Garfield is a residential neighborhood in the East End of Pittsburgh known for its hillside streets, diverse community, and ongoing revitalization efforts.
-
D.
Garfield
Garfield is the given name of Sir Garfield St Aubrun Sobers, the legendary West Indian cricketer widely regarded as one of the greatest all-rounders in the history of the sport.
-
E.
Magilla Gorilla
Magilla Gorilla is a classic Hanna-Barbera animated television character, a lovable but trouble-prone gorilla often featured in comedic situations involving his attempts to find a permanent home.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64023fe148190900c6887896c8ea0 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.