Triple
T2430825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | León de Greiff Auditorium |
E52838
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
León de Greiff
León de Greiff was a prominent 20th-century Colombian poet known for his innovative, baroque style and significant influence on Latin American literature.
|
E264679
|
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: León de Greiff | Statement: [León de Greiff Auditorium, namedAfter, León de Greiff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: León de Greiff Context triple: [León de Greiff Auditorium, namedAfter, León de Greiff]
-
A.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
B.
Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
-
C.
Plácido
Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
-
D.
de León
De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
-
E.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
- 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: León de Greiff Triple: [León de Greiff Auditorium, namedAfter, León de Greiff]
Generated description
León de Greiff was a prominent 20th-century Colombian poet known for his innovative, baroque style and significant influence on Latin American literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: León de Greiff Target entity description: León de Greiff was a prominent 20th-century Colombian poet known for his innovative, baroque style and significant influence on Latin American literature.
-
A.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
B.
Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
-
C.
Plácido
Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
-
D.
de León
De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
-
E.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9c767a88190b31cbccdce8e8982 |
completed | March 7, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf68d6a481909acd43eb31660f0e |
completed | March 9, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69aec16e9158819087139fd3e86785b0 |
completed | March 9, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec2065b608190bcdc4dd2d82be9d6 |
completed | March 9, 2026, 12:50 p.m. |
Created at: March 6, 2026, 9:43 p.m.