Triple
T6103487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Tucci |
E136060
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Kate Tucci
Kate Tucci was the late wife of actor Stanley Tucci, known for her work as a social worker and producer and for largely staying out of the public spotlight.
|
E569141
|
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: Kate Tucci | Statement: [Stanley Tucci, spouse, Kate Tucci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Tucci Context triple: [Stanley Tucci, spouse, Kate Tucci]
-
A.
Addie Wolff
Addie Wolff was the wife of prominent American investment banker and philanthropist Otto H. Kahn.
-
B.
Carrie MacLemore
Carrie MacLemore is an American actress best known for her role in Whit Stillman’s comedy film "Damsels in Distress."
-
C.
Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
-
D.
Valerie Curtin
Valerie Curtin is an American actress and screenwriter known for her work in film and television, including co-writing the acclaimed legal drama "...And Justice for All."
-
E.
Rachael Yamagata
Rachael Yamagata is an American singer-songwriter and pianist known for her soulful, melancholic indie pop and folk-influenced music.
- 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: Kate Tucci Triple: [Stanley Tucci, spouse, Kate Tucci]
Generated description
Kate Tucci was the late wife of actor Stanley Tucci, known for her work as a social worker and producer and for largely staying out of the public spotlight.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Tucci Target entity description: Kate Tucci was the late wife of actor Stanley Tucci, known for her work as a social worker and producer and for largely staying out of the public spotlight.
-
A.
Addie Wolff
Addie Wolff was the wife of prominent American investment banker and philanthropist Otto H. Kahn.
-
B.
Carrie MacLemore
Carrie MacLemore is an American actress best known for her role in Whit Stillman’s comedy film "Damsels in Distress."
-
C.
Mitchell Alsup
Mitchell Alsup is a computer engineer best known as one of the founders of Transmeta, a company that developed innovative low-power microprocessor technologies.
-
D.
Valerie Curtin
Valerie Curtin is an American actress and screenwriter known for her work in film and television, including co-writing the acclaimed legal drama "...And Justice for All."
-
E.
Rachael Yamagata
Rachael Yamagata is an American singer-songwriter and pianist known for her soulful, melancholic indie pop and folk-influenced music.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12553f1d4819096de40514ef4d2cb |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c125d888cc819092b765d47f1d9f9f |
completed | March 23, 2026, 11:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c126f308988190ab6cb6c79ea12877 |
completed | March 23, 2026, 11:41 a.m. |
Created at: March 22, 2026, 4:13 p.m.