Triple
T9118529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Espacio Escultórico |
E218783
|
entity |
| Predicate | designedBy |
P184
|
FINISHED |
| Object |
Hersúa
Hersúa is a Mexican sculptor known for his contributions to large-scale public and environmental artworks, including his role in shaping contemporary sculpture in Mexico.
|
E779512
|
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: Hersúa | Statement: [Espacio Escultórico, designedBy, Hersúa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hersúa Context triple: [Espacio Escultórico, designedBy, Hersúa]
-
A.
Jesús
Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
-
B.
Jesús María
Jesús María is a small city in the Los Altos region of Jalisco, Mexico, known for its traditional Mexican culture and agricultural surroundings.
-
C.
Jesús María
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
-
D.
Jesús María
Jesús María is a municipality in the Mexican state of Aguascalientes, known for its growing urban area and integration into the metropolitan region of the state capital.
-
E.
Tawûsê Melek
Tawûsê Melek is the central peacock-angel figure in Yazidism, revered as a chief divine being and guardian of the world.
- 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: Hersúa Triple: [Espacio Escultórico, designedBy, Hersúa]
Generated description
Hersúa is a Mexican sculptor known for his contributions to large-scale public and environmental artworks, including his role in shaping contemporary sculpture in Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hersúa Target entity description: Hersúa is a Mexican sculptor known for his contributions to large-scale public and environmental artworks, including his role in shaping contemporary sculpture in Mexico.
-
A.
Jesús
Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
-
B.
Jesús María
Jesús María is a small city in the Los Altos region of Jalisco, Mexico, known for its traditional Mexican culture and agricultural surroundings.
-
C.
Jesús María
Jesús María is a small city in central Argentina known for its traditional folklore and horse-taming festival.
-
D.
Jesús María
Jesús María is a municipality in the Mexican state of Aguascalientes, known for its growing urban area and integration into the metropolitan region of the state capital.
-
E.
Tawûsê Melek
Tawûsê Melek is the central peacock-angel figure in Yazidism, revered as a chief divine being and guardian of the world.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a7c6d48190a015efd17a017ca1 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0307c9f608190aad73bcf82ae334e |
completed | April 3, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d0318ef52c8190bfa0bef6a8d41daa |
completed | April 3, 2026, 9:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d03571c4648190bd546152c61c55a5 |
completed | April 3, 2026, 9:47 p.m. |
Created at: March 30, 2026, 7:17 p.m.