Triple
T32192420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talky Tina doll |
E822292
|
entity |
| Predicate | writerOfEpisode |
P115767
|
FINISHED |
| Object | Charles Beaumont |
—
|
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: Charles Beaumont | Statement: [Talky Tina doll, writerOfEpisode, Charles Beaumont]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writerOfEpisode Context triple: [Talky Tina doll, writerOfEpisode, Charles Beaumont]
-
A.
writtenInEpisodeBy
chosen
Indicates that a specific episode was written by a particular writer or author.
-
B.
playWrittenBy
Indicates that a particular play was authored or written by a specific person or entity.
-
C.
narratesEpisode
Indicates that one entity tells or recounts a specific episode or event involving another entity.
-
D.
narrativeEpisode
Indicates that one event, scene, or segment functions as a distinct episode within a larger narrative or storyline.
-
E.
wroteTelevisionSeriesFor
Indicates that one entity is the writer or creator of the script or content for a particular television series for another entity (such as a network, studio, or production).
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bace6c508190a7b25ad1024151b6 |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.