Triple
T37710277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Need a Little Christmas |
E939311
|
entity |
| Predicate | hasTitleCharacterSinger |
P12695
|
FINISHED |
| Object | Mame Dennis |
—
|
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: Mame Dennis | Statement: [We Need a Little Christmas, hasTitleCharacterSinger, Mame Dennis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleCharacterSinger Context triple: [We Need a Little Christmas, hasTitleCharacterSinger, Mame Dennis]
-
A.
isTitleCharacterOfSong
chosen
Indicates that a character is mentioned in or constitutes the title of a specific song.
-
B.
hasTitleCharacterTrait
Indicates that a title is associated with a specific character trait of an entity.
-
C.
hasTitleCharacterFrom
Indicates that a work has a title that includes or is derived from a specific character.
-
D.
hasMainTitleCharacter
Indicates that a work’s primary or main title is centered on, derived from, or explicitly names a particular character.
-
E.
hasSongTitle
Indicates that an entity (such as a song or musical work) bears or is associated with a specific song title.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:18 p.m.