Triple
T33737695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Christmas |
E864464
|
entity |
| Predicate | hasFilmNamedAfterSong |
P136503
|
FINISHED |
| Object | Last Christmas (2019 film) |
—
|
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: Last Christmas (2019 film) | Statement: [Last Christmas, hasFilmNamedAfterSong, Last Christmas (2019 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmNamedAfterSong Context triple: [Last Christmas, hasFilmNamedAfterSong, Last Christmas (2019 film)]
-
A.
hasFilmNamedAfter
chosen
Indicates that one entity (typically a person, place, event, or work) serves as the inspiration or subject for a film that bears its name or is explicitly titled after it.
-
B.
hasMusicFilm
Indicates a relationship where a subject is associated with or linked to a film that features or centers around music.
-
C.
songFeaturedInFilm
Indicates that a particular song is included or used within a specific film.
-
D.
hasStageNameInFilm
Indicates that an individual is credited or referred to by a particular stage name in a specific film.
-
E.
isFromMusicalFilm
Indicates that something originates from, or is part of, a musical film production.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: May 1, 2026, 1:44 a.m.