Triple
T24416816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 FIFA World Cup semi-final vs Germany |
E615605
|
entity |
| Predicate | coachOfItaly |
P155843
|
FINISHED |
| Object | Marcello Lippi |
—
|
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: Marcello Lippi | Statement: [2006 FIFA World Cup semi-final vs Germany, coachOfItaly, Marcello Lippi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachOfItaly Context triple: [2006 FIFA World Cup semi-final vs Germany, coachOfItaly, Marcello Lippi]
-
A.
Simone Inzaghi
Indicates a relationship or action involving Simone Inzaghi, typically as a participant (such as a player, coach, or subject) in the described context.
-
B.
juventusCoach
Indicates that one entity serves as the head coach/manager of the Juventus football club.
-
C.
captainOfJuventus
Indicates the role of being the team captain of the Juventus football club.
-
D.
managerOfRoma
Indicates the person who holds or held the role of managing the Roma football club.
-
E.
numberOfItalyGoals
Indicates the number of goals scored by Italy in a given match or context.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2958645248190a22bd0b8bcc2dfe2 |
completed | April 29, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:13 a.m.