Triple
T1694089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofia Wellesley |
E36615
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wellesley |
E178104
|
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: Wellesley | Statement: [Sofia Wellesley, familyName, Wellesley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wellesley Context triple: [Sofia Wellesley, familyName, Wellesley]
-
A.
Wellesley
chosen
Wellesley is an Anglo-Irish aristocratic family name most famously borne by Arthur Wellesley, the 1st Duke of Wellington, the British military leader who defeated Napoleon at Waterloo.
-
B.
Wellesley, Massachusetts
Wellesley, Massachusetts is an affluent suburban town west of Boston known for its highly ranked public schools and as the home of Wellesley College.
-
C.
Amherst
Amherst is an English surname historically associated with the British aristocratic Amherst family, including military commander Jeffery Amherst, 1st Baron Amherst.
-
D.
Bryn Mawr
Bryn Mawr is a residential neighborhood in the city of Yonkers, New York, known for its suburban character and proximity to New York City.
-
E.
Belmont
Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b228988190a7d19003ddf10ce5 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae516742dc81909915c49b12645c26 |
completed | March 9, 2026, 4:49 a.m. |
Created at: March 4, 2026, 7:29 p.m.