Triple
T17063638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornelius Harnett |
E414025
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Harnett
Harnett is a surname most notably associated with American Revolutionary leader Cornelius Harnett.
|
E1248710
|
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: Harnett | Statement: [Cornelius Harnett, familyName, Harnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harnett Context triple: [Cornelius Harnett, familyName, Harnett]
-
A.
Currier
Currier is a surname of English origin borne by various notable individuals, including figures in the arts, sports, and public life.
-
B.
Gurney
Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
-
C.
Hartnett
Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
-
D.
Herron
Herron is the maiden surname of Helen Herron Taft, the First Lady of the United States from 1909 to 1913 and wife of President William Howard Taft.
-
E.
Robert Hendricks
Robert Hendricks is the introspective psychiatrist and war veteran who serves as the troubled narrator of Sebastian Faulks’s novel "Where My Heart Used to Beat."
- 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: Harnett Triple: [Cornelius Harnett, familyName, Harnett]
Generated description
Harnett is a surname most notably associated with American Revolutionary leader Cornelius Harnett.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harnett Target entity description: Harnett is a surname most notably associated with American Revolutionary leader Cornelius Harnett.
-
A.
Currier
Currier is a surname of English origin borne by various notable individuals, including figures in the arts, sports, and public life.
-
B.
Gurney
Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
-
C.
Hartnett
Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
-
D.
Herron
Herron is the maiden surname of Helen Herron Taft, the First Lady of the United States from 1909 to 1913 and wife of President William Howard Taft.
-
E.
Robert Hendricks
Robert Hendricks is the introspective psychiatrist and war veteran who serves as the troubled narrator of Sebastian Faulks’s novel "Where My Heart Used to Beat."
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7f6a6081909bebce3ce925e663 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01234e9a94819094618ba43b7d22b4 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a01245aa7ec81909fa20befa29f590c |
completed | May 11, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01281c8bf08190a24d77fe6af595f4 |
completed | May 11, 2026, 12:51 a.m. |
Created at: April 10, 2026, 5:34 a.m.