Triple
T22168381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Hans Sloane |
E547855
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sloane |
—
|
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: Sloane | Statement: [Sir Hans Sloane, familyName, Sloane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sloane Context triple: [Sir Hans Sloane, familyName, Sloane]
-
A.
Sloane
Sloane is a music producer known for working on the track "Off the Grid."
-
B.
Sloane
Sloane is a central antagonist and complex intelligence operative from the television series "Alias," known for his obsession with the Rambaldi artifacts and morally ambiguous schemes.
-
C.
Sloane
Sloane is a feminine given name most notably associated with American professional tennis player Sloane Stephens.
-
D.
Sloane
chosen
Sloane is a surname historically associated with prominent American families, including members of the Vanderbilt lineage.
-
E.
May Sloane
May Sloane is a brash, good-hearted former manicurist and the ambitious wife of Ray Winkler in Woody Allen’s crime-comedy film "Small Time Crooks."
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6642b08190980fa0c0d2bb4229 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.