Triple
T21704046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barefoot Marathoner of Rome |
E535727
|
entity |
| Predicate | bearerDidNotRunBarefootIn |
P144986
|
FINISHED |
| Object | 1964 Olympic marathon |
—
|
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: 1964 Olympic marathon | Statement: [Barefoot Marathoner of Rome, bearerDidNotRunBarefootIn, 1964 Olympic marathon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerDidNotRunBarefootIn Context triple: [Barefoot Marathoner of Rome, bearerDidNotRunBarefootIn, 1964 Olympic marathon]
-
A.
portrayedAsBarefoot
Indicates that an entity is depicted or represented without footwear, showing bare feet.
-
B.
requiresShoesOff
Indicates that one entity mandates another to remove their shoes, typically as a condition for entry or participation.
-
C.
isClimbedBarefootBySomePilgrims
Indicates that some pilgrims climb the referenced entity without wearing any footwear.
-
D.
hasFootCrossing
Indicates that one entity has a designated crossing point specifically intended for pedestrians on foot.
-
E.
notWornBy
Indicates that a particular item or object is explicitly not being worn or used as clothing/accessory by a specified entity.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b82901c81909de242c920fbc164 |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:46 p.m.