Triple
T28161515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandro Tonali |
E714907
|
entity |
| Predicate | hasInternationalDebutFor |
P74429
|
FINISHED |
| Object | Italy national football team |
—
|
NE NERFINISHED |
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: Italy national football team | Statement: [Sandro Tonali, hasInternationalDebutFor, Italy national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalDebutFor Context triple: [Sandro Tonali, hasInternationalDebutFor, Italy national football team]
-
A.
internationalDebutFor
chosen
Indicates that an entity made its first official appearance or performance at the international level representing a particular country, team, or organization.
-
B.
internationalDebutOpponentTest
Indicates the opponent team against which an entity made its international Test debut.
-
C.
ageAtSeniorInternationalDebut
Indicates the age a person was when they first appeared in a senior-level international event or competition.
-
D.
madeDebutAtAge
Indicates the age at which an entity first appeared, performed, or participated in a particular field, event, or activity.
-
E.
madeWorldCupDebut
Indicates that an entity participated in their first-ever FIFA World Cup match or tournament in the specified year or event.
- F. None of above.
Provenance (3 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 27, 2026, 10:06 p.m.