Triple
T30568794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Brewster |
E778063
|
entity |
| Predicate | plasticSurgeryResult |
P25833
|
FINISHED |
| Object | resembles Boris Karloff |
—
|
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: resembles Boris Karloff | Statement: [Jonathan Brewster, plasticSurgeryResult, resembles Boris Karloff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plasticSurgeryResult Context triple: [Jonathan Brewster, plasticSurgeryResult, resembles Boris Karloff]
-
A.
hasSurgery
Indicates that a surgical procedure is performed on or undergone by an entity.
-
B.
faceliftOf
Indicates that one entity is a redesigned, updated, or cosmetically improved version of another existing entity.
-
C.
facelift
chosen
Indicates that an entity undergoes a cosmetic surgical procedure intended to tighten or rejuvenate its facial appearance.
-
D.
cuttingResultedIn
Indicates that an act of cutting caused or produced a particular outcome, state, or resulting object.
-
E.
result
Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
- F. None of above.
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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689108d448190ba08a76cfaea85ce |
completed | May 2, 2026, 11:30 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:21 p.m.