Triple
T8651547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotel Transylvania: Transformania |
E205109
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Murray the mummy |
E388934
|
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: Murray the mummy | Statement: [Hotel Transylvania: Transformania, featuresCharacter, Murray the mummy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murray the mummy Context triple: [Hotel Transylvania: Transformania, featuresCharacter, Murray the mummy]
-
A.
Murray the mummy
chosen
Murray the mummy is a comedic, party-loving mummy character and one of Dracula’s close monster friends in the animated Hotel Transylvania film series.
-
B.
Mumm
Mumm is a well-known Champagne brand recognized for its premium sparkling wines, particularly its flagship Cordon Rouge.
-
C.
Mortdecai
Mortdecai is a 2015 action-comedy film starring Johnny Depp as an eccentric art dealer entangled in a global hunt for a stolen painting.
-
D.
Mawtini
Mawtini is a patriotic Arabic song that serves as Iraq’s national anthem, celebrating homeland, freedom, and resilience.
-
E.
Muk Muk
Muk Muk is the nickname of John Burke, likely used as a distinctive personal or informal moniker.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc484051b48190b1d0cc63426c204d |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccc95b588190b5e44c73cf93d18b |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.