Triple
T21793535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Polymius |
E538034
|
entity |
| Predicate | relationshipToBartholomew |
P145668
|
FINISHED |
| Object | convert |
—
|
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: convert | Statement: [King Polymius, relationshipToBartholomew, convert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToBartholomew Context triple: [King Polymius, relationshipToBartholomew, convert]
-
A.
relationshipToBartolo
Indicates the specific type of relationship or connection that an entity has to Bartolo.
-
B.
relationshipToBaronOchs
Indicates the specific type of relationship or connection an entity has to Baron Ochs.
-
C.
relationshipToBarryFairbrother
Indicates the specific nature or type of relationship an entity has with Barry Fairbrother.
-
D.
relationshipToLeopoldBloom
Indicates the specific type of personal or social relationship an entity has with Leopold Bloom.
-
E.
relationshipToBobinot
Indicates the nature or type of relationship that one entity has with Bobinot.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06221d1f4819089bb113d808d79c2 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6c3a2898881909748935cf92f898c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 6:52 p.m.