Triple
T23134110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicole Barnhart |
E577260
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Barnhart
Barnhart is a surname of German origin borne by various notable individuals, including American soccer goalkeeper Nicole Barnhart.
|
E1573055
|
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: Barnhart | Statement: [Nicole Barnhart, familyName, Barnhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnhart Context triple: [Nicole Barnhart, familyName, Barnhart]
-
A.
Barnett
Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
-
B.
Barnett
Barnett is an English-language surname of Norman origin that has been borne by various notable figures in fields such as politics, academia, and the arts.
-
C.
Brockhart
Brockhart is a family surname, notably associated with the character Ted Brockhart.
-
D.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
E.
Barnes
Barnes is a notable member of the Human Resistance, recognized for their significant role in opposing an oppressive or antagonistic force.
- 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: Barnhart Triple: [Nicole Barnhart, familyName, Barnhart]
Generated description
Barnhart is a surname of German origin borne by various notable individuals, including American soccer goalkeeper Nicole Barnhart.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barnhart Target entity description: Barnhart is a surname of German origin borne by various notable individuals, including American soccer goalkeeper Nicole Barnhart.
-
A.
Barnett
Barnett is an English-language surname of Norman origin that has been borne by various notable figures in fields such as politics, academia, and the arts.
-
B.
Barnett
Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
-
C.
Brockhart
Brockhart is a family surname, notably associated with the character Ted Brockhart.
-
D.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
-
E.
Barnes
Barnes is a notable member of the Human Resistance, recognized for their significant role in opposing an oppressive or antagonistic force.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8ab9b08190969984f8c4494b0f |
completed | April 29, 2026, 4:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30872b5c81909433a0e3c9e3af00 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c31f385a881908283a8b079c4128a |
completed | May 19, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c32ece3148190a22881d69c42e948 |
completed | May 19, 2026, 9:52 a.m. |
Created at: April 17, 2026, 4 p.m.