Triple
T1557097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Haden Church |
E33230
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mia Zottoli
Mia Zottoli is an American actress and model known for her roles in late-1990s and early-2000s erotic thrillers and B-movies.
|
E270636
|
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: Mia Zottoli | Statement: [Thomas Haden Church, spouse, Mia Zottoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mia Zottoli Context triple: [Thomas Haden Church, spouse, Mia Zottoli]
-
A.
Sarah Mottola
Sarah Mottola is known as the daughter of American music executive and former Sony Music Entertainment CEO Tommy Mottola.
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Sophia Petrillo
Sophia Petrillo is the sharp-tongued, witty Sicilian matriarch from the sitcom "The Golden Girls," known for her blunt humor and memorable one-liners.
-
D.
Madeline Neroni
Madeline Neroni is a captivating, manipulative, and physically disabled beauty in Anthony Trollope’s novel "Barchester Towers," known for using her charm and wit to influence the social and romantic intrigues around her.
-
E.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
- 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: Mia Zottoli Triple: [Thomas Haden Church, spouse, Mia Zottoli]
Generated description
Mia Zottoli is an American actress and model known for her roles in late-1990s and early-2000s erotic thrillers and B-movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mia Zottoli Target entity description: Mia Zottoli is an American actress and model known for her roles in late-1990s and early-2000s erotic thrillers and B-movies.
-
A.
Sarah Mottola
Sarah Mottola is known as the daughter of American music executive and former Sony Music Entertainment CEO Tommy Mottola.
-
B.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
C.
Sophia Petrillo
Sophia Petrillo is the sharp-tongued, witty Sicilian matriarch from the sitcom "The Golden Girls," known for her blunt humor and memorable one-liners.
-
D.
Madeline Neroni
Madeline Neroni is a captivating, manipulative, and physically disabled beauty in Anthony Trollope’s novel "Barchester Towers," known for using her charm and wit to influence the social and romantic intrigues around her.
-
E.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908704d208190937af41c6454df4e |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af173cc94c8190a351334e7645cc0c |
completed | March 9, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69af1b0eb9dc81908b402a6536a40418 |
completed | March 9, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1bec9bcc819086977175aa859a51 |
completed | March 9, 2026, 7:13 p.m. |
Created at: March 4, 2026, 7:27 p.m.