Triple
T30507213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luciano Spalletti |
E776305
|
entity |
| Predicate | managedPeriodAtItalyNationalTeam |
P181434
|
FINISHED |
| Object | from 2023 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: from 2023 | Statement: [Luciano Spalletti, managedPeriodAtItalyNationalTeam, from 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managedPeriodAtItalyNationalTeam Context triple: [Luciano Spalletti, managedPeriodAtItalyNationalTeam, from 2023]
-
A.
managedPeriodAtInterMilan
Indicates that a person held a managerial role at Inter Milan during a specified time period.
-
B.
playedForNationalTeamUntil
Indicates that an individual was a member of and actively played for a specified national team up to and including a particular end date or year.
-
C.
nationalTeamHonourWithItaly
Indicates that an entity has received a national team honor while representing Italy.
-
D.
usedByNationalTeamSince
Indicates that something has been utilized or employed by a national team starting from a specific point in time.
-
E.
usedByNationalTeamUntil
Indicates that an entity (such as a player, coach, or staff member) was actively used or employed by a national team up to and including a specified end date.
- F. None of above. chosen
Provenance (4 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 29, 2026, 8:15 p.m.