Triple
T31658420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brennan Thicke |
E807924
|
entity |
| Predicate | seriesTitleVoiced |
P183133
|
FINISHED |
| Object | Dennis the Menace |
—
|
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: Dennis the Menace | Statement: [Brennan Thicke, seriesTitleVoiced, Dennis the Menace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesTitleVoiced Context triple: [Brennan Thicke, seriesTitleVoiced, Dennis the Menace]
-
A.
hasVoiceActing
Indicates that one entity provides voice performance for a character, role, or work associated with another entity.
-
B.
workSeriesTitle
Indicates that a work is part of, or associated with, a particular series title.
-
C.
seriesTitleOfRole
Indicates that a given title is the name of the series associated with a particular role.
-
D.
characterTypeVoiced
Indicates that one character serves as the voice actor or vocal performer for another character.
-
E.
speaksInSeries
Indicates that an entity delivers one or more talks or speeches within a particular series of events or presentations.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 30, 2026, 10:56 p.m.