Triple
T21666577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alibi Ike |
E534734
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Elmer the Great |
—
|
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: Elmer the Great | Statement: [Alibi Ike, follows, Elmer the Great]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmer the Great Context triple: [Alibi Ike, follows, Elmer the Great]
-
A.
Elmer
chosen
Elmer is a masculine given name of Germanic origin that has been borne by various notable figures, including athletes, politicians, and fictional characters.
-
B.
Gilbert the Universal
Gilbert the Universal was a 12th-century English theologian and Bishop of London known for his scholastic learning and influence in early medieval church affairs.
-
C.
Chumley the Walrus
Chumley the Walrus is a lovable, dim-witted walrus sidekick from the classic animated TV series "Tennessee Tuxedo and His Tales."
-
D.
Horton the Elephant
Horton the Elephant is a kind-hearted, loyal Dr. Seuss character best known for his unwavering belief that "a person's a person, no matter how small."
-
E.
Elmer Winter
Elmer Winter was an American lawyer and entrepreneur best known as the co-founder of Manpower Inc., one of the world’s largest staffing and workforce solutions companies.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0c236881909ffaefea8601b1c2 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:37 p.m.