Triple
T4300257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierfrancesco Favino |
E99816
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Padrenostro
Padrenostro is an Italian drama film centered on terrorism and father-son relationships in 1970s Italy, for which Pierfrancesco Favino received critical acclaim.
|
E428549
|
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: Padrenostro | Statement: [Pierfrancesco Favino, notableWork, Padrenostro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Padrenostro Context triple: [Pierfrancesco Favino, notableWork, Padrenostro]
-
A.
Hail Mary
The Hail Mary is a central Catholic prayer honoring the Virgin Mary and frequently recited in the Rosary.
-
B.
Ave Maria
"Ave Maria" is a renowned and frequently interpreted devotional song, famously performed by The Three Tenors in their classical crossover repertoire.
-
C.
Benedicite
Benedicite is a traditional Christian canticle of praise, derived from the Song of the Three Holy Youths and used in various liturgical services.
-
D.
Dona Nobis Pacem
"Dona Nobis Pacem" is a traditional Latin canon often sung a cappella as a simple, meditative plea for peace.
-
E.
Kyrie
Kyrie is the given name of Kyrie Irving, a prominent NBA point guard known for his exceptional ball-handling and scoring ability.
- 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: Padrenostro Triple: [Pierfrancesco Favino, notableWork, Padrenostro]
Generated description
Padrenostro is an Italian drama film centered on terrorism and father-son relationships in 1970s Italy, for which Pierfrancesco Favino received critical acclaim.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Padrenostro Target entity description: Padrenostro is an Italian drama film centered on terrorism and father-son relationships in 1970s Italy, for which Pierfrancesco Favino received critical acclaim.
-
A.
Hail Mary
The Hail Mary is a central Catholic prayer honoring the Virgin Mary and frequently recited in the Rosary.
-
B.
Ave Maria
"Ave Maria" is a renowned and frequently interpreted devotional song, famously performed by The Three Tenors in their classical crossover repertoire.
-
C.
Benedicite
Benedicite is a traditional Christian canticle of praise, derived from the Song of the Three Holy Youths and used in various liturgical services.
-
D.
Dona Nobis Pacem
"Dona Nobis Pacem" is a traditional Latin canon often sung a cappella as a simple, meditative plea for peace.
-
E.
Kyrie
Kyrie is the given name of Kyrie Irving, a prominent NBA point guard known for his exceptional ball-handling and scoring ability.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509e8cb481909ccca7992aac31a3 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c74a1a7c8190a69a82a8a2a38db9 |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c7d04508819087b14c5c86f1e015 |
completed | March 14, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c84ccea08190a8e7e8fa93934ea2 |
completed | March 14, 2026, 8:42 p.m. |
Created at: March 12, 2026, 11:08 p.m.