Triple
T16047225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Jo Salter |
E389253
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Salter |
E119420
|
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: Salter | Statement: [Mary Jo Salter, familyName, Salter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salter Context triple: [Mary Jo Salter, familyName, Salter]
-
A.
Salter
chosen
Salter is the middle name of Lucile Salter Packard, the American philanthropist and namesake of the Lucile Packard Children's Hospital at Stanford.
-
B.
Slater
Slater is a small city located in central Iowa, United States.
-
C.
Slater
Slater is a surname most prominently associated with Australian rugby league legend Billy Slater.
-
D.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
-
E.
Ewart
Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835eda348190aff492f0ff668cce |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbddc25481908fca660c4f14eaff |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.