Triple
T6355571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wallis |
E142981
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wallis |
E171833
|
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: Wallis | Statement: [John Wallis, familyName, Wallis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallis Context triple: [John Wallis, familyName, Wallis]
-
A.
Wallis
chosen
Wallis is a given name and surname used in English-speaking countries, often considered a variant of Wallace.
-
B.
Wallisellen
Wallisellen is a municipality in the canton of Zürich, Switzerland, known as a residential and commercial suburb on the outskirts of the city of Zürich.
-
C.
Bysshe
Bysshe is the middle name of the renowned English Romantic poet Percy Bysshe Shelley.
-
D.
Whittaker
Whittaker is a surname of English and Scottish origin borne by various notable individuals across fields such as science, sports, and the arts.
-
E.
Talbot
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6045e03e88190a8607e5d73c812bc |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.