Triple
T31687103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dot Tattler |
E808689
|
entity |
| Predicate | seasonSubtitle |
P188895
|
FINISHED |
| Object | Freak Show |
—
|
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: Freak Show | Statement: [Dot Tattler, seasonSubtitle, Freak Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonSubtitle Context triple: [Dot Tattler, seasonSubtitle, Freak Show]
-
A.
season1Subtitle
Indicates that one entity is the subtitle or subheading associated specifically with the first season of another entity.
-
B.
season2Subtitle
Indicates that an entity serves as the subtitle (secondary title or tagline) specifically for the second season of another entity (such as a TV series).
-
C.
season2Title
Indicates that the object is the title of the second season of the subject.
-
D.
seasonOfTitle
Indicates that one entity is a specific season or installment within the series or title represented by the other entity.
-
E.
season2Subject
Indicates that the subject is associated with or pertains to the second season of a series, event, or recurring entity.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbaf18085481908c774e8f8bbb9a41 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaebbb7f88190b4edfd9b83550aad |
completed | May 6, 2026, 9:12 p.m. |
Created at: April 30, 2026, 11:07 p.m.