Triple
T28340006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Ferraro |
E717782
|
entity |
| Predicate | appearsInVersionOfSeries |
P179209
|
FINISHED |
| Object | 2017 Netflix reboot of One Day at a Time |
—
|
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: 2017 Netflix reboot of One Day at a Time | Statement: [Max Ferraro, appearsInVersionOfSeries, 2017 Netflix reboot of One Day at a Time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInVersionOfSeries Context triple: [Max Ferraro, appearsInVersionOfSeries, 2017 Netflix reboot of One Day at a Time]
-
A.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
B.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by another entity.
-
C.
appearedInEpisodeOf
Indicates that one entity made an appearance in a specific episode belonging to a television or radio series associated with the other entity.
-
D.
appearsInEpisodeType
Indicates that an entity is featured in, or associated with, a specific type or category of episode.
-
E.
appearsInSeriesEndYear
Indicates the year in which an entity’s appearance in a particular series concludes or is last featured.
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 28, 2026, 12:39 a.m.