Triple
T2119000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Justo Corro |
E43873
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Corro
Corro is a Spanish-language surname borne by various individuals, including historical Mexican political figure José Justo Corro.
|
E234070
|
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: Corro | Statement: [José Justo Corro, familyName, Corro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corro Context triple: [José Justo Corro, familyName, Corro]
-
A.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
B.
Corsu
Corsu is the native name for the Corsican language spoken on the Mediterranean island of Corsica.
-
C.
Crisa
Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
-
D.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
E.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
- 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: Corro Triple: [José Justo Corro, familyName, Corro]
Generated description
Corro is a Spanish-language surname borne by various individuals, including historical Mexican political figure José Justo Corro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corro Target entity description: Corro is a Spanish-language surname borne by various individuals, including historical Mexican political figure José Justo Corro.
-
A.
Nolano
Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
-
B.
Corsu
Corsu is the native name for the Corsican language spoken on the Mediterranean island of Corsica.
-
C.
Crisa
Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
-
D.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
E.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3117c081908c5e748a869d1f9f |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae307b08148190aa201ac038ce9944 |
completed | March 9, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69ae3106488c8190a044d843a10f531a |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31889bc0819092810ade1961d10e |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:44 p.m.