Triple
T7656368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Jane Negley Mellon |
E173394
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Negley
Negley is a surname of a family associated with American socialite and philanthropist Sarah Jane Negley Mellon.
|
E679107
|
NE FINISHED |
How this triple was built (4 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: Negley | Statement: [Sarah Jane Negley Mellon, familyName, Negley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Negley Context triple: [Sarah Jane Negley Mellon, familyName, Negley]
-
A.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
B.
Lovell
Lovell is an English surname most prominently associated with Sir Bernard Lovell, a pioneering radio astronomer and founder of the Jodrell Bank Observatory.
-
C.
Dyle
Dyle is a river in central Belgium that flows through cities such as Leuven and Mechelen before joining the Rupel.
-
D.
Wadsworth
Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
-
E.
The Delaplaine
The Delaplaine is a community-focused arts center in Frederick, Maryland, offering art exhibitions, classes, and cultural programs for all ages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Negley Triple: [Sarah Jane Negley Mellon, familyName, Negley]
Generated description
Negley is a surname of a family associated with American socialite and philanthropist Sarah Jane Negley Mellon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Negley Target entity description: Negley is a surname of a family associated with American socialite and philanthropist Sarah Jane Negley Mellon.
-
A.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
B.
Lovell
Lovell is an English surname most prominently associated with Sir Bernard Lovell, a pioneering radio astronomer and founder of the Jodrell Bank Observatory.
-
C.
Dyle
Dyle is a river in central Belgium that flows through cities such as Leuven and Mechelen before joining the Rupel.
-
D.
Wadsworth
Wadsworth is a small unincorporated community in Nevada known for its location along the Truckee River and its historical ties to the transcontinental railroad.
-
E.
The Delaplaine
The Delaplaine is a community-focused arts center in Frederick, Maryland, offering art exhibitions, classes, and cultural programs for all ages.
- F. None of above. chosen
Provenance (5 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7018fcbb48190a479f2effd939a8e |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b05846c8190b49540aeae43dd9a |
completed | March 29, 2026, 3:22 a.m. |
| NEDg | Description generation | batch_69c89baadac081909921bb6215e79319 |
completed | March 29, 2026, 3:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89c698f2c8190b5d2717835bd1d82 |
completed | March 29, 2026, 3:28 a.m. |
Created at: March 27, 2026, 3:59 p.m.