Triple
T10352139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcel Cerdan |
E243905
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cerdan
Cerdan is a French surname most famously associated with Marcel Cerdan, the celebrated mid-20th-century world champion boxer.
|
E856948
|
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: Cerdan | Statement: [Marcel Cerdan, familyName, Cerdan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerdan Context triple: [Marcel Cerdan, familyName, Cerdan]
-
A.
Juan Daura
Juan Daura was an architect known for his work on the design and construction of Cádiz Cathedral in Spain.
-
B.
Marco Mendoza
Marco Mendoza is a Mexican-American rock bassist and vocalist best known for his work with bands like Thin Lizzy, Whitesnake, and The Dead Daisies.
-
C.
Denis Pagan
Denis Pagan is a former Australian rules football coach best known for leading North Melbourne to multiple AFL premierships in the 1990s.
-
D.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
E.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
- 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: Cerdan Triple: [Marcel Cerdan, familyName, Cerdan]
Generated description
Cerdan is a French surname most famously associated with Marcel Cerdan, the celebrated mid-20th-century world champion boxer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cerdan Target entity description: Cerdan is a French surname most famously associated with Marcel Cerdan, the celebrated mid-20th-century world champion boxer.
-
A.
Juan Daura
Juan Daura was an architect known for his work on the design and construction of Cádiz Cathedral in Spain.
-
B.
Marco Mendoza
Marco Mendoza is a Mexican-American rock bassist and vocalist best known for his work with bands like Thin Lizzy, Whitesnake, and The Dead Daisies.
-
C.
Denis Pagan
Denis Pagan is a former Australian rules football coach best known for leading North Melbourne to multiple AFL premierships in the 1990s.
-
D.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
E.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9489f9481908fc1c818e81c1cc2 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7509c50d48190a567d9613a062efc |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d75133588c819093af59327b951cd7 |
completed | April 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d751d94a7081909fbe78fb6f76aef5 |
completed | April 9, 2026, 7:14 a.m. |
Created at: April 6, 2026, 11:57 a.m.