Triple
T12870177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Seas |
E307826
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Fabio
Fabio is the central protagonist of the series "High Seas," around whom the main plot and character dynamics revolve.
|
E1006350
|
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: Fabio | Statement: [High Seas, hasMainCharacter, Fabio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fabio Context triple: [High Seas, hasMainCharacter, Fabio]
-
A.
Fabio
Fabio is the birth name of Pope Alexander VII, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
B.
Roberto
Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
-
C.
Giancarlo
Giancarlo is an Italian masculine given name commonly used in Italy and among Italian communities worldwide.
-
D.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
-
E.
Enzo Faletto
Enzo Faletto was a Chilean sociologist and co-author of the influential work "Dependency and Development in Latin America," which helped shape dependency theory in the social sciences.
- 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: Fabio Triple: [High Seas, hasMainCharacter, Fabio]
Generated description
Fabio is the central protagonist of the series "High Seas," around whom the main plot and character dynamics revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fabio Target entity description: Fabio is the central protagonist of the series "High Seas," around whom the main plot and character dynamics revolve.
-
A.
Fabio
Fabio is the birth name of Pope Alexander VII, the 17th-century head of the Catholic Church and ruler of the Papal States.
-
B.
Roberto
Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
-
C.
Giancarlo
Giancarlo is an Italian masculine given name commonly used in Italy and among Italian communities worldwide.
-
D.
Fabrizio
Fabrizio is an Italian masculine given name of Latin origin, commonly used in Italy and among Italian-speaking communities.
-
E.
Enzo Faletto
Enzo Faletto was a Chilean sociologist and co-author of the influential work "Dependency and Development in Latin America," which helped shape dependency theory in the social sciences.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb4b28c8190a4ec9cad4e1e0f05 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69cc60c488190a5a71e25c075e9ff |
completed | May 3, 2026, 12:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69d845a9081909b40562825c1c500 |
completed | May 3, 2026, 12:57 a.m. |
Created at: April 9, 2026, 5:38 p.m.