Triple
T5420594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Seuss |
E121238
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Geisel |
E374986
|
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: Geisel | Statement: [Dr. Seuss, familyName, Geisel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geisel Context triple: [Dr. Seuss, familyName, Geisel]
-
A.
J. S. Newberry
J. S. Newberry was a 19th-century American physician and geologist who played a prominent organizational role in Union medical and sanitary efforts during the Civil War.
-
B.
Caro-Seuss-el
Caro-Seuss-el is a whimsical, Dr. Seuss–themed carousel attraction located in the Seuss Landing area of Universal's Islands of Adventure theme park.
-
C.
Dr. Seuss
Dr. Seuss was an American children’s author and illustrator renowned for his whimsical rhyming stories and imaginative characters in books such as "The Cat in the Hat" and "Green Eggs and Ham."
-
D.
John Strong Newberry
John Strong Newberry was a 19th-century American geologist and explorer known for his pioneering geological surveys of the American West.
-
E.
Audrey Geisel
chosen
Audrey Geisel was an American philanthropist and the widow of Dr. Seuss, known for overseeing and producing adaptations of his works and managing his literary estate.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87eac41481908a4982db5d119edd |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ab4d32c8190958daefa8061a7f9 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.