Triple
T3880347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar Robertson |
E92804
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Robertson |
E122932
|
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: Robertson | Statement: [Oscar Robertson, familyName, Robertson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robertson Context triple: [Oscar Robertson, familyName, Robertson]
-
A.
Robertson
chosen
Robertson is a common Scottish surname historically associated with the Highlands and borne by numerous notable figures in politics, sports, and the arts.
-
B.
Bancroft
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
C.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
D.
Richardson
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
-
E.
Robnett
Robnett is a given middle name that appears in the full name of individuals such as the American politician and jurist James Lick Robnett.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec7557cc819094f055463625ffc3 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512568ba48190a820fcda9b472701 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.