Triple
T6769112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Bannister |
E154997
|
entity |
| Predicate | worldRecordStartDate |
P38164
|
FINISHED |
| Object | 1954-05-06 (mile 3:59.4) |
—
|
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: 1954-05-06 (mile 3:59.4) | Statement: [Roger Bannister, worldRecordStartDate, 1954-05-06 (mile 3:59.4)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRecordStartDate Context triple: [Roger Bannister, worldRecordStartDate, 1954-05-06 (mile 3:59.4)]
-
A.
worldRecordSetOn
chosen
Indicates that a world record was achieved or established on a specific date or occasion.
-
B.
wasWorldRecordFor
Indicates that something held the status of being the best performance or highest achievement ever recorded for a particular event, category, or metric at a given time.
-
C.
heldWorldRecordTime
Indicates that an entity achieved and maintained the fastest known performance time in a specific event or activity, recognized as the official world record for a period.
-
D.
setWorldRecordsIn
Indicates that an entity has achieved and holds world record performances in a specified domain, event, or location.
-
E.
firstRecordingDate
Indicates the date on which an entity’s first recording (e.g., audio, video, or similar captured performance) was made.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d232d1f08190bc30c0f24f28c475 |
completed | March 27, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:12 p.m.