Triple
T12317958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippa Foot |
E293651
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Philippa |
E278786
|
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: Philippa | Statement: [Philippa Foot, givenName, Philippa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippa Context triple: [Philippa Foot, givenName, Philippa]
-
A.
Philippa
chosen
Philippa was a medieval European queen consort, most famously Philippa of Hainault, wife of King Edward III of England.
-
B.
Euphemia
Euphemia was the wife of Byzantine Emperor Justin I and served as empress consort of the Eastern Roman Empire in the early 6th century.
-
C.
Genevieve
Genevieve is a feminine given name, often associated with French and Celtic origins and linked to legendary and saintly figures in European tradition.
-
D.
Phillipa
Phillipa is the given name of American actress and singer Phillipa Soo, best known for originating the role of Eliza Hamilton in the Broadway musical "Hamilton."
-
E.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4ab1b88190979a8403a430a17c |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9f708081908c052333c3b7df4c |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.