Triple
T5094899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yola |
E114841
|
entity |
| Predicate | studiedBy |
P1945
|
FINISHED |
| Object | Jacob Poole |
E149274
|
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: Jacob Poole | Statement: [Yola, studiedBy, Jacob Poole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Poole Context triple: [Yola, studiedBy, Jacob Poole]
-
A.
Jacob Poole
chosen
Jacob Poole was a 19th-century Irish scholar best known for compiling and preserving the vocabulary and records of the now-extinct Yola language of County Wexford.
-
B.
Jacob Polley
Jacob Polley is a contemporary British poet and novelist known for his lyrically precise, often haunting explorations of memory, landscape, and the uncanny.
-
C.
Chris Poole
Chris Poole is a writer best known for his work on the film "In the Mix."
-
D.
Benjamin Keough
Benjamin Keough was the son of Lisa Marie Presley and the grandson of Elvis Presley, known for his strong resemblance to his famous grandfather.
-
E.
Jacob Brown
Jacob Brown was a prominent U.S. Army general in the War of 1812, noted for his leadership and tactical skill in major engagements against British forces.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7563ad608190879a26a0bf07c3f6 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba7b87c08190a2581c87f965fa9f |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:40 p.m.