Triple
T13667437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Family |
E327656
|
entity |
| Predicate | hasSpecialEpisodes |
P16447
|
FINISHED |
| Object | Christmas specials |
—
|
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: Christmas specials | Statement: [My Family, hasSpecialEpisodes, Christmas specials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialEpisodes Context triple: [My Family, hasSpecialEpisodes, Christmas specials]
-
A.
includesSpecialEpisodes
chosen
Indicates that the subject collection or series contains one or more special, non-regular episodes.
-
B.
hasTVSpecial
Indicates that an entity has an associated television special featuring it as the main subject or focus.
-
C.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
D.
hasStandUpSpecial
Indicates that an entity has created, performed, or released a stand-up comedy special.
-
E.
hasEpisodeAbout
Indicates that a particular episode (such as of a show, podcast, or series) focuses on, discusses, or is centered around a specified subject or topic.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.