Triple
T16446619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saquon Barkley |
E399446
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Barkley |
E17584
|
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: Barkley | Statement: [Saquon Barkley, familyName, Barkley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barkley Context triple: [Saquon Barkley, familyName, Barkley]
-
A.
Barkley
chosen
Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
-
B.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
C.
Shep
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
-
D.
Barkin
Barkin is the surname of American actress and producer Ellen Barkin, known for her intense performances in film, television, and theater.
-
E.
Barkly
Barkly is a vast electoral division in Australia's Northern Territory, encompassing remote outback communities and pastoral regions including the Tennant Creek area.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdcedf8819080aa82a8712c0b42 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4b738881908f8a205466397f33 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.