Triple
T33223640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ianus Bifrons |
E850490
|
entity |
| Predicate | bifronsMeans |
P176222
|
FINISHED |
| Object | two-faced |
—
|
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: two-faced | Statement: [Ianus Bifrons, bifronsMeans, two-faced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bifronsMeans Context triple: [Ianus Bifrons, bifronsMeans, two-faced]
-
A.
isBicolor
Indicates that something consists of or displays two distinct colors.
-
B.
isBilateral
Indicates that the relationship or interaction involves two sides, parties, or entities mutually.
-
C.
bilaterallyPaired
Indicates that the relationship or structure involves two corresponding or matching parts on opposite sides of a central axis.
-
D.
obverseOrReverse
Indicates that two sides or aspects of the same object or item are being related as its obverse (front) and reverse (back).
-
E.
frontsOn
Indicates that one entity directly faces, borders, or has its primary side along the edge of another entity, such as a building fronting on a street or a property fronting on a body of water.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:30 a.m.