Triple
T11983271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiana |
E285210
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Dr. Facilier |
E340825
|
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: Dr. Facilier | Statement: [Tiana, enemy, Dr. Facilier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Facilier Context triple: [Tiana, enemy, Dr. Facilier]
-
A.
Dr. Facilier
chosen
Dr. Facilier is the charismatic and sinister voodoo witch doctor who serves as the primary antagonist in Disney’s animated film "The Princess and the Frog."
-
B.
Gargamel
Gargamel is the main villain of the Smurfs franchise, a bumbling, evil wizard obsessed with capturing the Smurfs for his own gain.
-
C.
Charlotte La Bouff
Charlotte La Bouff is a wealthy, bubbly Southern belle from Disney's "The Princess and the Frog," known for her dramatic flair, kindness, and dream of marrying a prince.
-
D.
Leo le Gris
Leo le Gris is a pseudonym of León de Greiff, the influential 20th-century Colombian poet known for his erudite, musical, and highly stylized verse.
-
E.
René de Travière
René de Travière is a fictional character from the swashbuckling adventure film "The Purple Mask," set in post-Napoleonic France.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d0791348190a2f6c0e808af3aea |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.