Triple
T5208509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Alda |
E117569
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Beatrice Alda
Beatrice Alda is an American actress and documentary filmmaker, known for her work in independent cinema and for being part of the Alda acting family.
|
E502950
|
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: Beatrice Alda | Statement: [Alan Alda, hasChild, Beatrice Alda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beatrice Alda Context triple: [Alan Alda, hasChild, Beatrice Alda]
-
A.
Beatrice Sisul
Beatrice Sisul is a film editor known for her work on the thriller "Message from the King."
-
B.
Beatrice
Beatrice is the idealized woman in Dante Alighieri’s Divine Comedy who serves as his spiritual guide through Paradise and symbolizes divine love and theology.
-
C.
Beatrice
Beatrice is a feminine given name of Latin origin, traditionally associated with meanings like "she who brings happiness" or "bringer of joy."
-
D.
Beatrice Hennessy
Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
-
E.
Geronima Mazzarini
Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
- 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: Beatrice Alda Triple: [Alan Alda, hasChild, Beatrice Alda]
Generated description
Beatrice Alda is an American actress and documentary filmmaker, known for her work in independent cinema and for being part of the Alda acting family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beatrice Alda Target entity description: Beatrice Alda is an American actress and documentary filmmaker, known for her work in independent cinema and for being part of the Alda acting family.
-
A.
Beatrice Sisul
Beatrice Sisul is a film editor known for her work on the thriller "Message from the King."
-
B.
Beatrice
Beatrice is the idealized woman in Dante Alighieri’s Divine Comedy who serves as his spiritual guide through Paradise and symbolizes divine love and theology.
-
C.
Beatrice
Beatrice is a feminine given name of Latin origin, traditionally associated with meanings like "she who brings happiness" or "bringer of joy."
-
D.
Beatrice Hennessy
Beatrice Hennessy is the child of Tamar Teresa Day Hennessy.
-
E.
Geronima Mazzarini
Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a6d70d081908c74e86b3bca9ba2 |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefd4b75c8190b1b87b8d93925245 |
completed | March 21, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69bef0761c208190bac06ff1f92c8224 |
completed | March 21, 2026, 7:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef14ca27c81909a5a44155c9ddaf9 |
completed | March 21, 2026, 7:28 p.m. |
Created at: March 20, 2026, 1:47 p.m.