Triple
T24631317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Just Louis Fontaine |
E609682
|
entity |
| Predicate | recordSetIn |
P156835
|
FINISHED |
| Object | 1958 FIFA World Cup |
—
|
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: 1958 FIFA World Cup | Statement: [Just Louis Fontaine, recordSetIn, 1958 FIFA World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordSetIn Context triple: [Just Louis Fontaine, recordSetIn, 1958 FIFA World Cup]
-
A.
recordSetAgainst
Indicates that a performance, statistic, or benchmark was achieved in opposition to or during a specific event, opponent, or condition.
-
B.
recordsWith
Indicates that one entity keeps or maintains documented information about another entity or event.
-
C.
recordSetInSeason
Indicates that a particular record or achievement was set during a specified sports season.
-
D.
setRecordFor
Indicates establishing or updating a specific record associated with an entity or context.
-
E.
recordHeldIn
Indicates that a record is stored, maintained, or kept within a particular location, system, or repository.
- 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.