Triple
T22879604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Gambetta |
E567423
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Hélène Massabie
Hélène Massabie is known as the spouse of Italian musician Giuseppe Gambetta.
|
E1571777
|
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: Hélène Massabie | Statement: [Giuseppe Gambetta, spouse, Hélène Massabie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hélène Massabie Context triple: [Giuseppe Gambetta, spouse, Hélène Massabie]
-
A.
Hélène Rochas
Hélène Rochas was a French socialite, businesswoman, and former model who became the influential head of the Rochas perfume and fashion house.
-
B.
Marcelle Hainia
Marcelle Hainia was a French actress known for her role in the classic 1932 film "Boudu Saved from Drowning."
-
C.
Hélène Vincent
Hélène Vincent is a French actress and theatre director known for her work in film, television, and on stage, including roles in acclaimed European dramas.
-
D.
Eliette Mouret
Eliette Mouret is a French former fashion model and artist best known as the wife of renowned Austrian conductor Herbert von Karajan.
-
E.
Eliette Mouret
Eliette Mouret is a relatively obscure individual whose publicly available information is minimal and not widely documented.
- 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: Hélène Massabie Triple: [Giuseppe Gambetta, spouse, Hélène Massabie]
Generated description
Hélène Massabie is known as the spouse of Italian musician Giuseppe Gambetta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hélène Massabie Target entity description: Hélène Massabie is known as the spouse of Italian musician Giuseppe Gambetta.
-
A.
Hélène Rochas
Hélène Rochas was a French socialite, businesswoman, and former model who became the influential head of the Rochas perfume and fashion house.
-
B.
Marcelle Hainia
Marcelle Hainia was a French actress known for her role in the classic 1932 film "Boudu Saved from Drowning."
-
C.
Hélène Vincent
Hélène Vincent is a French actress and theatre director known for her work in film, television, and on stage, including roles in acclaimed European dramas.
-
D.
Eliette Mouret
Eliette Mouret is a French former fashion model and artist best known as the wife of renowned Austrian conductor Herbert von Karajan.
-
E.
Eliette Mouret
Eliette Mouret is a relatively obscure individual whose publicly available information is minimal and not widely documented.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5b1ea481909a31a8ed6792ad04 |
completed | April 29, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23d0bf6481909bd4cb1690b1278d |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271d8fc48190a818c73660218022 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c2951a718819088c1c7d8435586ec |
completed | May 19, 2026, 9:11 a.m. |
Created at: April 17, 2026, 3:39 p.m.