Triple
T20655527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlboro College |
E507614
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Walter Hendricks |
—
|
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: Walter Hendricks | Statement: [Marlboro College, founder, Walter Hendricks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Hendricks Context triple: [Marlboro College, founder, Walter Hendricks]
-
A.
Walter Hendricks
chosen
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
-
B.
Walter Carroll
Walter Carroll was the husband of acclaimed American stage and screen actress Julie Harris.
-
C.
Walter Caldwell
Walter Caldwell is one of the eccentric, reclusive uncles at the heart of the coming-of-age film "Secondhand Lions," known for his adventurous past and gruff but ultimately caring nature.
-
D.
Walter Harris
Walter Harris is a writer best known for contributing to the album "So It Is."
-
E.
Walter Nelson
Walter Nelson was an attorney who served on the defense team in the landmark Ossian Sweet murder trial, which challenged racial injustice in 1920s Detroit.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ed48308190b9350a323b9a7952 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.