Triple
T24631319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Louis Fontaine |
E609682
|
entity |
| Predicate | shirtNumberAt1958WorldCup |
P156836
|
FINISHED |
| Object | 17 |
—
|
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: 17 | Statement: [Just Louis Fontaine, shirtNumberAt1958WorldCup, 17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shirtNumberAt1958WorldCup Context triple: [Just Louis Fontaine, shirtNumberAt1958WorldCup, 17]
-
A.
shirtNumberTradition
Indicates a conventional or historically established assignment or significance of a particular shirt number within a team or sport.
-
B.
shirtNumberODI
Indicates the jersey number a player wears in One Day International (ODI) cricket matches.
-
C.
shirtNumberAtVfLWolfsburg
Indicates the shirt number a player wears while playing for VfL Wolfsburg.
-
D.
roleIn1958WorldCup
Indicates the specific capacity or position an entity held in relation to the 1958 FIFA World Cup (e.g., player, coach, official, host role).
-
E.
hasShirtNumberRole
Indicates that an entity holds a specific shirt number assignment or role, typically within a team or roster 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.