Triple
T11252828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaston Maspero |
E266360
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Maspero
Maspero is a French surname most notably associated with Egyptologist Gaston Maspero and his scholarly family.
|
E914442
|
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: Maspero | Statement: [Gaston Maspero, familyName, Maspero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maspero Context triple: [Gaston Maspero, familyName, Maspero]
-
A.
Palestra Italia
Palestra Italia was the original name of the Brazilian football club now known as Sociedade Esportiva Palmeiras, founded by Italian immigrants in São Paulo.
-
B.
San Siro
San Siro is a historic, large-capacity football stadium in Milan, Italy, renowned as the home ground of both AC Milan and Inter Milan.
-
C.
Palazzetto dello Sport
Palazzetto dello Sport is a landmark modernist indoor sports arena in Rome, Italy, celebrated for its innovative reinforced-concrete dome and elegant structural design.
-
D.
Villa ArenA
Villa ArenA is a large home furnishings and interior design shopping mall located in Amsterdam’s ArenA district.
-
E.
Estadio da Malata
Estadio da Malata is a football stadium in Ferrol, Spain, best known as the home ground of the Spanish club Racing de Ferrol.
- 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: Maspero Triple: [Gaston Maspero, familyName, Maspero]
Generated description
Maspero is a French surname most notably associated with Egyptologist Gaston Maspero and his scholarly family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maspero Target entity description: Maspero is a French surname most notably associated with Egyptologist Gaston Maspero and his scholarly family.
-
A.
Palestra Italia
Palestra Italia was the original name of the Brazilian football club now known as Sociedade Esportiva Palmeiras, founded by Italian immigrants in São Paulo.
-
B.
San Siro
San Siro is a historic, large-capacity football stadium in Milan, Italy, renowned as the home ground of both AC Milan and Inter Milan.
-
C.
Palazzetto dello Sport
Palazzetto dello Sport is a landmark modernist indoor sports arena in Rome, Italy, celebrated for its innovative reinforced-concrete dome and elegant structural design.
-
D.
Villa ArenA
Villa ArenA is a large home furnishings and interior design shopping mall located in Amsterdam’s ArenA district.
-
E.
Estadio da Malata
Estadio da Malata is a football stadium in Ferrol, Spain, best known as the home ground of the Spanish club Racing de Ferrol.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e933648481909873094bc89ed041 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc8599588190b510cf888ec42e34 |
completed | April 19, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69e4d9eb79608190b7ed108906f4e2bf |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4df50eebc8190a4fe0aba7dc9fa62 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:31 p.m.