Triple
T20747070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Blake |
E510613
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Beast Must Die |
—
|
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 Beast Must Die | Statement: [Nicholas Blake, hasPart, The Beast Must Die]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Beast Must Die Context triple: [Nicholas Blake, hasPart, The Beast Must Die]
-
A.
The Beast Must Die
chosen
The Beast Must Die is a 1938 crime novel by Cecil Day-Lewis (writing as Nicholas Blake), renowned for its innovative diary-format narrative about a crime writer plotting the murder of his son’s killer.
-
B.
The Beast
The Beast was the fearsome nickname of Jimmie Foxx, a legendary power-hitting Major League Baseball slugger of the early 20th century.
-
C.
The Beast
The Beast is a 1996 American made-for-television miniseries adaptation of Peter Benchley’s novel about a giant squid terrorizing a coastal community.
-
D.
The Beast
The Beast is an alternate name for the Doom Slayer, the relentless demon-slaying protagonist of the Doom video game series.
-
E.
The Beast
The Beast is a prominent abstract public sculpture by artist Lynn Chadwick located in the city center of Sheffield, England.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c225c564819088f2461467698095 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:33 p.m.