Triple
T31167257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begin Here |
E794504
|
entity |
| Predicate | sideAOpener |
P171207
|
FINISHED |
| Object | Road Runner |
—
|
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: Road Runner | Statement: [Begin Here, sideAOpener, Road Runner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideAOpener Context triple: [Begin Here, sideAOpener, Road Runner]
-
A.
sideAContent
Indicates that the content or information pertains specifically to side A of a two-sided entity or relationship.
-
B.
sideAStyle
Indicates the stylistic or design characteristics applied specifically to side A of an object or entity in a relationship.
-
C.
operatesOnSide
Indicates that an action or process is performed specifically on a particular side or lateral aspect of an object or entity.
-
D.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
-
E.
sideEngagementOf
Indicates a relationship where one entity is engaged with or attached to the side of another 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_69f224d504908190b01278dcb7fc3fa7 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6f01e881908fa84f5d429d37ae |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:07 p.m.