Triple
T3557768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonida Repaci |
E75260
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Leonida
Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
|
E368731
|
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: Leonida | Statement: [Leonida Repaci, givenName, Leonida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonida Context triple: [Leonida Repaci, givenName, Leonida]
-
A.
Leonidaion
Leonidaion is an ancient guesthouse complex at Olympia in Greece, built in the 4th century BCE to accommodate distinguished visitors during the Olympic Games.
-
B.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
C.
Velia Titta
Velia Titta was the wife of Italian socialist politician Giacomo Matteotti, who became a symbol of resistance after his assassination by Fascist squads in 1924.
-
D.
Cariane
Cariane was a French public transport operator that managed bus and coach services before being succeeded by Keolis.
-
E.
Leonessa
Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
- 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: Leonida Triple: [Leonida Repaci, givenName, Leonida]
Generated description
Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leonida Target entity description: Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
-
A.
Leonidaion
Leonidaion is an ancient guesthouse complex at Olympia in Greece, built in the 4th century BCE to accommodate distinguished visitors during the Olympic Games.
-
B.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
C.
Velia Titta
Velia Titta was the wife of Italian socialist politician Giacomo Matteotti, who became a symbol of resistance after his assassination by Fascist squads in 1924.
-
D.
Cariane
Cariane was a French public transport operator that managed bus and coach services before being succeeded by Keolis.
-
E.
Leonessa
Leonessa is a historic mountain town in central Italy, known for its medieval architecture and scenic location in the Apennines.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc086e6688190b90ae356e18b953e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb95bcc88190abf1ea2efc30faeb |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bc7bf10c81908a1f30cd63892c90 |
completed | March 13, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3e727222881909f8f57890fca1746 |
completed | March 13, 2026, 10:29 a.m. |
Created at: March 8, 2026, 3:20 p.m.