Triple
T3321860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Worthington |
E69812
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Worthington |
E224574
|
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: Worthington | Statement: [Angela Worthington, familyName, Worthington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worthington Context triple: [Angela Worthington, familyName, Worthington]
-
A.
Worthington
chosen
Worthington is an English-origin surname borne by numerous notable figures in politics, industry, and the arts.
-
B.
Farmington
Farmington is a city in northwestern New Mexico known as a regional hub for energy production and outdoor recreation near the Four Corners area.
-
C.
Trumpington
Trumpington is a historic village and suburb on the southern edge of Cambridge, England, known for its ancient parish church and association with the University city.
-
D.
Randolph
Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
-
E.
Randolph
Randolph is a prominent English-origin surname historically associated with influential political and social figures, particularly in early American history.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13d13a88190828d9a03fd0865ce |
completed | March 8, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7954248190b0c7b5d6ab3c6687 |
completed | March 12, 2026, 7:56 p.m. |
Created at: March 8, 2026, 3:11 p.m.