Triple
T25289493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortitudo Luditor |
E634040
|
entity |
| Predicate | hasPlayerInYouthCareer |
P144481
|
FINISHED |
| Object | Francesco Totti |
—
|
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: Francesco Totti | Statement: [Fortitudo Luditor, hasPlayerInYouthCareer, Francesco Totti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayerInYouthCareer Context triple: [Fortitudo Luditor, hasPlayerInYouthCareer, Francesco Totti]
-
A.
youthPlayer
chosen
Indicates a relationship where an individual is a member of, or plays for, the youth or junior division of a team, club, or organization.
-
B.
hasCareerGamesPlayed
Indicates the total number of games an entity has played over the course of its entire career.
-
C.
isRetiredAsPlayer
Indicates that an individual has ended their active career or participation in a sport or game as a player.
-
D.
hasStageCareer
Indicates that an entity has pursued or been involved in a professional career in stage performance or theater.
-
E.
hasJuniorDraftEligibility
Indicates that an individual meets the criteria to be eligible for selection in a junior-level draft.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 21, 2026, 1:21 p.m.