Triple
T21657329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter De Maria |
E534500
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
De Maria
De Maria is the surname of Walter De Maria, the influential American sculptor and composer associated with the Land Art movement.
|
E1496029
|
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: De Maria | Statement: [Walter De Maria, familyName, De Maria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Maria Context triple: [Walter De Maria, familyName, De Maria]
-
A.
Maria Gond
Maria Gond are an indigenous Adivasi community of central India, traditionally inhabiting forested regions and known for their distinct culture, language, and close relationship with the natural environment.
-
B.
Djuna
Djuna is a distinctive given name most famously associated with the modernist writer and artist Djuna Barnes.
-
C.
Licia
Licia is a shortened or diminutive form of the given name Felicia.
-
D.
Marta
Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
-
E.
Marta
Marta is a small Italian town in the Lazio region, situated on the southern shore of Lake Bolsena and known for its lakeside scenery and historic center.
- 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: De Maria Triple: [Walter De Maria, familyName, De Maria]
Generated description
De Maria is the surname of Walter De Maria, the influential American sculptor and composer associated with the Land Art movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De Maria Target entity description: De Maria is the surname of Walter De Maria, the influential American sculptor and composer associated with the Land Art movement.
-
A.
Maria Gond
Maria Gond are an indigenous Adivasi community of central India, traditionally inhabiting forested regions and known for their distinct culture, language, and close relationship with the natural environment.
-
B.
Djuna
Djuna is a distinctive given name most famously associated with the modernist writer and artist Djuna Barnes.
-
C.
Licia
Licia is a shortened or diminutive form of the given name Felicia.
-
D.
Marta
Marta is a feminine given name commonly used in many European and Latin American countries, often considered a variant of the name Martha.
-
E.
Marta
Marta is a legendary Brazilian footballer widely regarded as one of the greatest women’s players of all time.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5919c9c88190a2ddcf2cefee79a5 |
completed | April 27, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a159a54708190ab9477dbcf1bfb2a |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a17c8879881909f810d965ef41061 |
completed | May 17, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a1855a75c8190bd810d94637df913 |
completed | May 17, 2026, 7:34 p.m. |
Created at: April 16, 2026, 6:36 p.m.