Triple
T5572230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Mingus |
E146228
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sue Graham Ungaro
Sue Graham Ungaro is best known as the wife of influential American jazz bassist and composer Charles Mingus.
|
E530969
|
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: Sue Graham Ungaro | Statement: [Charles Mingus, spouse, Sue Graham Ungaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Graham Ungaro Context triple: [Charles Mingus, spouse, Sue Graham Ungaro]
-
A.
Kathleen Hilfiger
Kathleen Hilfiger is one of the children of American fashion designer Tommy Hilfiger.
-
B.
Susie Hilfiger
Susie Hilfiger is an American businesswoman and former wife of fashion designer Tommy Hilfiger, known for her involvement in the fashion and lifestyle industry.
-
C.
Mary Anne Marciano
Mary Anne Marciano is the daughter of legendary undefeated heavyweight boxing champion Rocky Marciano.
-
D.
Ruth Buzzi
Ruth Buzzi is an American comedienne and actress best known for her zany, character-driven sketch comedy work on television in the late 1960s and 1970s.
-
E.
Suzy Welch
Suzy Welch is an American author, television commentator, and business journalist known for her work on management and leadership, including co-authoring books with former GE CEO Jack Welch.
- 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: Sue Graham Ungaro Triple: [Charles Mingus, spouse, Sue Graham Ungaro]
Generated description
Sue Graham Ungaro is best known as the wife of influential American jazz bassist and composer Charles Mingus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sue Graham Ungaro Target entity description: Sue Graham Ungaro is best known as the wife of influential American jazz bassist and composer Charles Mingus.
-
A.
Kathleen Hilfiger
Kathleen Hilfiger is one of the children of American fashion designer Tommy Hilfiger.
-
B.
Susie Hilfiger
Susie Hilfiger is an American businesswoman and former wife of fashion designer Tommy Hilfiger, known for her involvement in the fashion and lifestyle industry.
-
C.
Mary Anne Marciano
Mary Anne Marciano is the daughter of legendary undefeated heavyweight boxing champion Rocky Marciano.
-
D.
Ruth Buzzi
Ruth Buzzi is an American comedienne and actress best known for her zany, character-driven sketch comedy work on television in the late 1960s and 1970s.
-
E.
Suzy Welch
Suzy Welch is an American author, television commentator, and business journalist known for her work on management and leadership, including co-authoring books with former GE CEO Jack Welch.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020518f348190879ac67dab307134 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0284ef6e48190bae9c9a1b1d77f5d |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c037b5be3c819098c8500350267a1e |
completed | March 22, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0393144248190a97d1f82b81cc868 |
completed | March 22, 2026, 6:47 p.m. |
Created at: March 22, 2026, 3:37 p.m.