Triple
T1225037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David H. Souter |
E26307
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
|
E139409
|
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: Hackett | Statement: [David H. Souter, middleName, Hackett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hackett Context triple: [David H. Souter, middleName, Hackett]
-
A.
Harrington
Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
-
B.
Hucknall
Hucknall is a market town in Nottinghamshire, England, historically known for its coal mining industry and as the burial place of the poet Lord Byron.
-
C.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
D.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
-
E.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
- 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: Hackett Triple: [David H. Souter, middleName, Hackett]
Generated description
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hackett Target entity description: Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
A.
Harrington
Harrington is a small coastal town in New South Wales, Australia, known for its beaches, fishing, and proximity to the Manning River and Crowdy Bay National Park.
-
B.
Hucknall
Hucknall is a market town in Nottinghamshire, England, historically known for its coal mining industry and as the burial place of the poet Lord Byron.
-
C.
Harbison
Harbison is a surname most notably associated with American composer John Harbison, known for his contributions to contemporary classical music.
-
D.
Hart
Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
-
E.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be382c4081909238c18b805352a7 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac832704c08190a1a73ebd90fa91b8 |
completed | March 7, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69ac83add3608190be198ba153721d5c |
completed | March 7, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac846e724081909696c8c44f2f9500 |
completed | March 7, 2026, 8:02 p.m. |
Created at: March 1, 2026, 7:47 p.m.