Triple
T7003551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Jones |
E162394
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jones |
E46350
|
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: Jones | Statement: [Cherry Jones, familyName, Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jones Context triple: [Cherry Jones, familyName, Jones]
-
A.
Jones
chosen
Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
-
B.
John
John Stewart-Murray, 8th Duke of Atholl, was a Scottish peer and soldier who served as a senior officer in the British Army and held prominent aristocratic and civic roles in the late 19th and early 20th centuries.
-
C.
John
John is the given name of Saint John of Capistrano, a 15th-century Franciscan friar renowned as a preacher, theologian, and leader in the defense of Belgrade.
-
D.
John
John is the given name of the renowned American stage and film actor John Barrymore, a major star of the early 20th century.
-
E.
John
John is the given name of John W. Cahn, a prominent American materials scientist known for his influential work in the theory of phase transformations and materials microstructure.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc12af788190b3d06ffc46568410 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a368d0881908e15e473bcd6f572 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.