Triple
T10521906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Eleanor Laurens |
E248193
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Laurens |
E174041
|
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: Laurens | Statement: [Mary Eleanor Laurens, familyName, Laurens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurens Context triple: [Mary Eleanor Laurens, familyName, Laurens]
-
A.
Laurens
chosen
Laurens is a surname most notably associated with Henry Laurens, an American merchant, slave trader, and President of the Continental Congress during the American Revolution.
-
B.
Laurens
Laurens is a small town located in Otsego County in central New York State.
-
C.
Winfield
Winfield is a small town located in Lake County, Indiana, known primarily as a residential community near the Chicago metropolitan area.
-
D.
Winfield
Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
-
E.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e0907481908807dd99980cba1f |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e119fe4819085e5c1c6e71e6260 |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:29 p.m.