Triple
T11793622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flintstone Kids |
E280448
|
entity |
| Predicate | depictsVersionOf |
P1581
|
FINISHED |
| Object | Fred Flintstone as a child |
—
|
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: Fred Flintstone as a child | Statement: [The Flintstone Kids, depictsVersionOf, Fred Flintstone as a child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsVersionOf Context triple: [The Flintstone Kids, depictsVersionOf, Fred Flintstone as a child]
-
A.
depictedSince
Indicates that an entity has been depicted or represented in some medium starting from a specific point in time.
-
B.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
C.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
D.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
E.
isVersionOf
Indicates that one entity is a particular version, edition, or variant derived from another entity.
- F. None of above.
Provenance (3 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.