Triple
T21242998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vern Tessio |
E523524
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | The Body |
—
|
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 Body | Statement: [Vern Tessio, appearsIn, The Body]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Body Context triple: [Vern Tessio, appearsIn, The Body]
-
A.
The Body
"The Body" is a science fiction novel by Alan E. Nourse that explores medical and ethical dilemmas through a speculative, futuristic lens.
-
B.
The Body
chosen
"The Body" is a coming-of-age novella by Stephen King, best known as the basis for the 1986 film "Stand by Me."
-
C.
The Body
The Body is an experimental metal duo from the United States known for their crushingly heavy sound, genre-blurring collaborations, and bleak, noise-infused approach to doom and sludge metal.
-
D.
The Body
The Body is a Spanish mystery thriller film known for its suspenseful plot involving a missing corpse and the dark secrets it uncovers.
-
E.
The Body
"The Body" is the famous nickname of Jesse Ventura, the former professional wrestler, actor, and governor of Minnesota.
- 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352507448190ba1f14cef16d69be |
completed | April 21, 2026, 8:28 a.m. |
Created at: April 16, 2026, 3:47 p.m.