Triple
T9938661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dionisio de Herrera |
E194021
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dionisio
Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
|
E830958
|
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: Dionisio | Statement: [Dionisio de Herrera, givenName, Dionisio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dionisio Context triple: [Dionisio de Herrera, givenName, Dionisio]
-
A.
Nicanor
Nicanor was a Seleucid military commander known for leading royal forces against the Jewish rebels during the Maccabean Revolt in the 2nd century BCE.
-
B.
Hipólito
Hipólito is a given name of Spanish origin, commonly used in Latin American countries such as Argentina.
-
C.
Celso
Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
-
D.
Valeriano
Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
-
E.
Basilio
Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
- 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: Dionisio Triple: [Dionisio de Herrera, givenName, Dionisio]
Generated description
Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dionisio Target entity description: Dionisio is a masculine given name of Greek origin, derived from Dionysius and associated with the ancient Greek god Dionysus.
-
A.
Nicanor
Nicanor was a Seleucid military commander known for leading royal forces against the Jewish rebels during the Maccabean Revolt in the 2nd century BCE.
-
B.
Hipólito
Hipólito is a given name of Spanish origin, commonly used in Latin American countries such as Argentina.
-
C.
Celso
Celso is a small village in southern Italy that serves as a frazione (hamlet) of the municipality of Pollica in the Campania region.
-
D.
Valeriano
Valeriano is a masculine given name of Latin origin, historically borne by several notable figures including Spanish military and political leaders.
-
E.
Basilio
Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e64760819094f599f158d32f33 |
completed | April 2, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228f259b081909ce8a90ec1adad0d |
completed | April 5, 2026, 9:18 a.m. |
| NEDg | Description generation | batch_69d22a78819481908ccff34730464f19 |
completed | April 5, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22b0fea588190a4928c361c2367ca |
completed | April 5, 2026, 9:27 a.m. |
Created at: March 30, 2026, 8:44 p.m.