Triple
T33173055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giancarlo Antognoni |
E849087
|
entity |
| Predicate | leagueAppearancesForFiorentina |
P180090
|
FINISHED |
| Object | 341 |
—
|
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: 341 | Statement: [Giancarlo Antognoni, leagueAppearancesForFiorentina, 341]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueAppearancesForFiorentina Context triple: [Giancarlo Antognoni, leagueAppearancesForFiorentina, 341]
-
A.
clubAppearancesForInterMilan
Indicates the number of official matches a player has played for the club Inter Milan.
-
B.
leagueAppearancesForACMilan
Indicates the number of league matches a player has played for AC Milan.
-
C.
clubAppearancesForACMilan
Indicates the number of official match appearances a player has made for the club AC Milan.
-
D.
leagueAppearances
Indicates the number of times an entity has participated in official league matches or competitions.
-
E.
numberOfCoppaItaliaTitles
Indicates the quantity of Coppa Italia titles that an entity has won.
- 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_69f3495be8808190bbf427733df08aad |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: May 1, 2026, 1:29 a.m.