Triple
T22032608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giancarlo Giannini |
E544121
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ternosecco
Ternosecco is an Italian film featuring Giancarlo Giannini in a prominent role.
|
E1515821
|
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: Ternosecco | Statement: [Giancarlo Giannini, notableWork, Ternosecco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ternosecco Context triple: [Giancarlo Giannini, notableWork, Ternosecco]
-
A.
Bardineto
Bardineto is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and proximity to the Ligurian Alps.
-
B.
Pintasilgo
Pintasilgo is the surname of Maria de Lourdes Pintasilgo, a prominent Portuguese chemical engineer, politician, and the first woman to serve as Portugal’s prime minister.
-
C.
Arrecina
Arrecina is an ancient Roman family name (nomen) associated with members of the early Imperial aristocracy.
-
D.
Sparanero
Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
-
E.
Crecchio
Crecchio is a small historic town in the Abruzzo region of central Italy, known for its medieval castle and well-preserved old center.
- 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: Ternosecco Triple: [Giancarlo Giannini, notableWork, Ternosecco]
Generated description
Ternosecco is an Italian film featuring Giancarlo Giannini in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ternosecco Target entity description: Ternosecco is an Italian film featuring Giancarlo Giannini in a prominent role.
-
A.
Bardineto
Bardineto is a small municipality in the Liguria region of northwestern Italy, known for its mountainous surroundings and proximity to the Ligurian Alps.
-
B.
Pintasilgo
Pintasilgo is the surname of Maria de Lourdes Pintasilgo, a prominent Portuguese chemical engineer, politician, and the first woman to serve as Portugal’s prime minister.
-
C.
Arrecina
Arrecina is an ancient Roman family name (nomen) associated with members of the early Imperial aristocracy.
-
D.
Sparanero
Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
-
E.
Crecchio
Crecchio is a small historic town in the Abruzzo region of central Italy, known for its medieval castle and well-preserved old center.
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127ee84848190a22c24bf14498520 |
completed | April 28, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b67c9108190ada69a65c85dc282 |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7d125a788190bf1bc501956be1d9 |
completed | May 18, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7de9ca508190b6e74fb62a9cd1bc |
completed | May 18, 2026, 2:48 a.m. |
Created at: April 16, 2026, 8:24 p.m.