Triple
T10387298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DreamWorks Theatre Featuring Kung Fu Panda |
E244794
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Tigress |
E683352
|
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: Tigress | Statement: [DreamWorks Theatre Featuring Kung Fu Panda, featuresCharacter, Tigress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigress Context triple: [DreamWorks Theatre Featuring Kung Fu Panda, featuresCharacter, Tigress]
-
A.
Tigress
chosen
Tigress is a fierce and disciplined kung fu master of the Furious Five in the Kung Fu Panda film series, known for her strength, loyalty, and stoic demeanor.
-
B.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
-
C.
Tiger
The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
-
D.
Tiger
Tiger is a legendary American professional golfer widely regarded as one of the greatest players in the history of the sport.
-
E.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a4e6748190bd9dd319de94c659 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795aa3afc8190aed1ca11556ae34f |
completed | April 9, 2026, 12:03 p.m. |
Created at: April 6, 2026, 12:05 p.m.