Triple
T20123777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beastly Bit |
E490686
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Beastly Bit |
—
|
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: Beastly Bit | Statement: [Beastly Bit, hasTitle, Beastly Bit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beastly Bit Context triple: [Beastly Bit, hasTitle, Beastly Bit]
-
A.
Beastly Bit
chosen
Beastly Bit is a notable track by the artist Jump Salty, recognized within their discography for its distinctive style and sound.
-
B.
Blatant Beast
The Blatant Beast is a monstrous symbol of slander and defamation in Edmund Spenser’s epic poem *The Faerie Queene*, representing the destructive power of malicious gossip.
-
C.
Beastly
Beastly is a 2011 romantic fantasy film that modernizes the "Beauty and the Beast" fairy tale in a contemporary high school setting.
-
D.
Beasts
Beasts is a 1976 British television horror anthology series created and written by Nigel Kneale, known for its unsettling, creature-themed standalone stories.
-
E.
Beast in View
Beast in View is a 1955 psychological suspense novel by Margaret Millar, renowned for its twisty plot and exploration of mental illness and identity.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6674054188190a15d55a73e86d143 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.