Triple
T12840791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Lynn |
E307043
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Peter DaCosta
Peter DaCosta is the son of American actress and pianist Diana Lynn.
|
E1003622
|
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: Peter DaCosta | Statement: [Diana Lynn, hasChild, Peter DaCosta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter DaCosta Context triple: [Diana Lynn, hasChild, Peter DaCosta]
-
A.
Tony Costa
Tony Costa is a character in Philip Pullman’s "His Dark Materials" series, known as a young Gyptian boy who becomes a victim of the sinister experiments conducted by the General Oblation Board.
-
B.
Matt Costa
Matt Costa is an American singer-songwriter and musician known for his melodic indie folk and surf-influenced acoustic rock.
-
C.
Peter Maranian
Peter Maranian is the husband of Pulitzer Prize–winning American columnist and author Ellen Goodman.
-
D.
Steven Pasquale
Steven Pasquale is an American actor known for his work in television, film, and theater, including prominent roles in series like "Rescue Me" and various acclaimed stage productions.
-
E.
Patrick Cristaldi
Patrick Cristaldi is the son of renowned Italian-Tunisian actress Claudia Cardinale and film producer Franco Cristaldi.
- 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: Peter DaCosta Triple: [Diana Lynn, hasChild, Peter DaCosta]
Generated description
Peter DaCosta is the son of American actress and pianist Diana Lynn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter DaCosta Target entity description: Peter DaCosta is the son of American actress and pianist Diana Lynn.
-
A.
Tony Costa
Tony Costa is a character in Philip Pullman’s "His Dark Materials" series, known as a young Gyptian boy who becomes a victim of the sinister experiments conducted by the General Oblation Board.
-
B.
Matt Costa
Matt Costa is an American singer-songwriter and musician known for his melodic indie folk and surf-influenced acoustic rock.
-
C.
Peter Maranian
Peter Maranian is the husband of Pulitzer Prize–winning American columnist and author Ellen Goodman.
-
D.
Steven Pasquale
Steven Pasquale is an American actor known for his work in television, film, and theater, including prominent roles in series like "Rescue Me" and various acclaimed stage productions.
-
E.
Patrick Cristaldi
Patrick Cristaldi is the son of renowned Italian-Tunisian actress Claudia Cardinale and film producer Franco Cristaldi.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff2ab60819085561a3120189985 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edeaa1881909e06600ef88727de |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f68f8e29508190b9c5b5ed88631bf8 |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69006c0288190a49ba8714cd19959 |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:35 p.m.