Triple
T22189291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Lipnicki |
E548374
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | The Little Vampire |
—
|
NE NERFINISHED |
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: The Little Vampire | Statement: [Jonathan Lipnicki, appearedIn, The Little Vampire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Little Vampire Context triple: [Jonathan Lipnicki, appearedIn, The Little Vampire]
-
A.
The Little Vampire
chosen
The Little Vampire is a 2000 family fantasy film about a young boy who befriends a vampire child and becomes involved in a quest to break an ancient curse.
-
B.
Mr. Vampire
Mr. Vampire is a classic 1985 Hong Kong horror-comedy film that popularized the hopping vampire (jiangshi) genre and became a landmark of Chinese supernatural cinema.
-
C.
The Education of a Vampire
The Education of a Vampire is a lesser-known film project associated with American actress, writer, and filmmaker Flynn Belaine.
-
D.
The Vampire
"The Vampire" is a film featuring actress Lydia Reed, known for her work in mid-20th-century American cinema.
-
E.
The Vampire
"The Vampire" is a track from the album "Illuminations," likely featuring dark, atmospheric themes consistent with its evocative title.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.