Triple
T28148672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Little Boys |
E714551
|
entity |
| Predicate | bSideOfRolfHarrisSingle |
P164072
|
FINISHED |
| Object | The Court of King Caractacus |
—
|
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: The Court of King Caractacus | Statement: [Two Little Boys, bSideOfRolfHarrisSingle, The Court of King Caractacus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bSideOfRolfHarrisSingle Context triple: [Two Little Boys, bSideOfRolfHarrisSingle, The Court of King Caractacus]
-
A.
singleAorBside
Indicates that exactly one of the two related entities is on side A or side B, but not both simultaneously.
-
B.
singleSideOf
Indicates that one entity constitutes a single side or face of another entity, typically within a larger multi-sided structure or object.
-
C.
singleSide
Indicates that the relationship or action involves only one side or participant, without a corresponding or reciprocal counterpart.
-
D.
bSideOfSingleByJeffersonAirplane
Indicates that something is the B-side track of a single released by Jefferson Airplane.
-
E.
sideMan
Indicates a person who serves as a secondary or supporting partner to a main individual, often assisting or accompanying them in their activities.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64174bfa0819082295e9899756808 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 9:58 p.m.