Triple
T37747703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaetano Scirea |
E940890
|
entity |
| Predicate | yearsActiveOnNationalTeam |
P30936
|
FINISHED |
| Object | Italy 1975–1986 |
—
|
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: Italy 1975–1986 | Statement: [Gaetano Scirea, yearsActiveOnNationalTeam, Italy 1975–1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveOnNationalTeam Context triple: [Gaetano Scirea, yearsActiveOnNationalTeam, Italy 1975–1986]
-
A.
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.
-
B.
usedByNationalTeamSince
Indicates that something has been utilized or employed by a national team starting from a specific point in time.
-
C.
hasPlayedForNationalTeam
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
-
D.
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.
-
E.
nationalTeamYears
chosen
Indicates the span of years during which an entity was active as a member of a national team.
- 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_69f76ee0e32c8190b40a3b4cf590337c |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.