Triple
T16733210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinny |
E406646
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Christmas Guy |
E90594
|
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: Christmas Guy | Statement: [Vinny, appearsIn, Christmas Guy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christmas Guy Context triple: [Vinny, appearsIn, Christmas Guy]
-
A.
Christmas Guy
chosen
"Christmas Guy" is an episode of the animated television series Family Guy centered around the character Brian Griffin's return from death.
-
B.
Grinchmas
Grinchmas is a holiday-themed seasonal celebration at Universal’s Seuss Landing featuring Dr. Seuss’s Grinch, festive decorations, and themed entertainment.
-
C.
The Grinch
The Grinch is a famously grouchy, green, Christmas-hating character from Dr. Seuss’s classic children’s story “How the Grinch Stole Christmas!”
-
D.
Santa Claus
Santa Claus is a legendary, gift-giving figure in Western culture typically depicted as a jolly, bearded man in a red suit who delivers presents to children on Christmas Eve.
-
E.
Rudolph
Rudolph is a surname of German origin borne by various notable individuals and families.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c3748d08190a57ae40f54aa63c4 |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4c723c8190ad92628f4164d11c |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.