Triple
T9780997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dove Cameron |
E237370
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Barely Lethal |
E46508
|
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: Barely Lethal | Statement: [Dove Cameron, appearsIn, Barely Lethal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barely Lethal Context triple: [Dove Cameron, appearsIn, Barely Lethal]
-
A.
Barely Lethal
chosen
Barely Lethal is a 2015 action-comedy film about a teenage assassin trying to live a normal high school life, starring Hailee Steinfeld and Samuel L. Jackson.
-
B.
Hard to Kill
Hard to Kill is a professional wrestling pay-per-view event produced annually by Impact Wrestling.
-
C.
Deadly Impact
Deadly Impact is a 2009 action-thriller film about an FBI agent confronting a ruthless terrorist, directed by special effects veteran Robert Kurtzman.
-
D.
The Blow
The Blow is an American indie pop band known for its minimalist electronic sound and introspective, narrative-driven lyrics.
-
E.
Great Kills
Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b0b15881909ef52d0156148c59 |
completed | April 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e519c7a88190b8776b4af4908d1f |
completed | April 5, 2026, 10:41 p.m. |
Created at: March 30, 2026, 8:27 p.m.