Triple
T20520595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Bentley |
E503796
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jay |
—
|
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: Jay | Statement: [Jay Bentley, givenName, Jay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Context triple: [Jay Bentley, givenName, Jay]
-
A.
Jay
Jay is the surname of John Jay, a prominent American Founding Father and the first Chief Justice of the United States.
-
B.
Jay
Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
-
C.
Jay
chosen
Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
-
D.
Jay
Jay is the given name of Whittaker Chambers, the American writer and former Soviet spy best known for his role in the Alger Hiss case.
-
E.
Jay
Jay is the commonly used nickname of Jay Cutler, a former NFL quarterback best known for his tenure with the Chicago Bears.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f4587c481908544f89572d164b0 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.