Triple
T9962933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 'Twas the Night Before Christmas |
E195611
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Prancer |
E37296
|
NE 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: Prancer | Statement: ['Twas the Night Before Christmas, featuresCharacter, Prancer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prancer Context triple: ['Twas the Night Before Christmas, featuresCharacter, Prancer]
-
A.
Prancer
chosen
Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
B.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
C.
Harvey the Hound
Harvey the Hound is the energetic, dog-themed mascot of the NHL’s Calgary Flames, known for his playful antics and long-standing presence at the team’s games.
-
D.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
E.
Shep
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb718cd588190a4aac48220deddec |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d993404819089c9a71d03721e0b |
completed | April 5, 2026, 10:46 a.m. |
Created at: March 30, 2026, 8:47 p.m.