Triple
T13700352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tre metri sopra il cielo |
E328498
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Babi
Babi is the sheltered, upper-class teenage girl who becomes the romantic lead opposite the rebellious Hache in the Italian novel and film "Tre metri sopra il cielo."
|
E1055652
|
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: Babi | Statement: [Tre metri sopra il cielo, mainCharacter, Babi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babi Context triple: [Tre metri sopra il cielo, mainCharacter, Babi]
-
A.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
-
B.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
-
C.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
D.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
E.
Belka
Belka is a Polish surname most notably borne by Marek Belka, an economist and former Prime Minister of Poland.
- 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: Babi Triple: [Tre metri sopra il cielo, mainCharacter, Babi]
Generated description
Babi is the sheltered, upper-class teenage girl who becomes the romantic lead opposite the rebellious Hache in the Italian novel and film "Tre metri sopra il cielo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babi Target entity description: Babi is the sheltered, upper-class teenage girl who becomes the romantic lead opposite the rebellious Hache in the Italian novel and film "Tre metri sopra il cielo."
-
A.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
-
B.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
-
C.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
-
D.
Bebek
Bebek is an upscale seaside neighborhood on Istanbul’s Bosphorus shore, known for its scenic views, cafes, and vibrant social life.
-
E.
Belka
Belka is a Polish surname most notably borne by Marek Belka, an economist and former Prime Minister of Poland.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794575d3881908de6ed988d848918 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79523bf608190addeca563bea132e |
completed | May 3, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:54 p.m.