Triple
T23487404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiger Lily |
E570571
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Peter Pan character |
C4721
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Peter Pan character Context triple: [Tiger Lily, instanceOf, Peter Pan character]
-
A.
Winnie-the-Pooh character
A Winnie-the-Pooh character is an anthropomorphic resident of the Hundred Acre Wood whose personality, relationships, and adventures with friends explore themes of childhood, friendship, and gentle humor.
-
B.
character from The Nightmare Before Christmas
A character from The Nightmare Before Christmas is an inhabitant of one of the film’s fantastical holiday-themed worlds, defined by a distinctive gothic visual style, quirky personality, and a role in the musical tale that blends Halloween spookiness with Christmas charm.
-
C.
Disney characters
Disney characters are imaginative, often anthropomorphic figures created by The Walt Disney Company that embody distinct personalities and values, appearing across its animated and live-action stories.
-
D.
fictionalCharacter
chosen
A fictionalCharacter is an invented person or being in a narrative work, defined by attributes, relationships, and actions that drive the story and embody its themes.
-
E.
Harry Potter character
A Harry Potter character is an individual—human or magical creature—who exists within the Harry Potter universe, possessing distinct traits, roles, and relationships that contribute to the series’ narrative and world-building.
- F. None of above.
Provenance (1 batch)
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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 17, 2026, 6:04 p.m.