Triple
T35007307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PUFFY |
E1009845
|
entity |
| Predicate | hasTVSeriesAdaptation |
P181987
|
FINISHED |
| Object | Hi Hi Puffy AmiYumi |
E1009845
|
NE 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: Hi Hi Puffy AmiYumi | Statement: [PUFFY, hasTVSeriesAdaptation, Hi Hi Puffy AmiYumi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTVSeriesAdaptation Context triple: [PUFFY, hasTVSeriesAdaptation, Hi Hi Puffy AmiYumi]
-
A.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
B.
hasComicAdaptation
Indicates that one entity has been adapted into a comic based on the other entity.
-
C.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
D.
hasGraphicNovelAdaptation
Indicates that a work has been adapted into a graphic novel format.
-
E.
hasTVSeriesOrigin
Indicates that a TV series originates from, or is based on, a particular source work, context, or location.
- F. None of above. chosen
Provenance (5 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37c627a654819092095d7f83e0b322 |
completed | June 21, 2026, 11:08 a.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.