Triple
T33704225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filet mignon |
E863540
|
entity |
| Predicate | cutFromPart |
P177221
|
FINISHED |
| Object | smaller end of the tenderloin |
—
|
LITERAL 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: smaller end of the tenderloin | Statement: [Filet mignon, cutFromPart, smaller end of the tenderloin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cutFromPart Context triple: [Filet mignon, cutFromPart, smaller end of the tenderloin]
-
A.
cutFrom
chosen
Indicates that one entity has been removed or separated from another entity by cutting.
-
B.
cutInto
Indicates that one entity divides another entity into smaller pieces or segments.
-
C.
cutBy
Indicates that one entity is divided, severed, or shaped as a result of another entity performing a cutting action on it.
-
D.
removalPartOf
Indicates that one entity is a component or portion that has been taken away or extracted from another entity.
-
E.
cutaway
Indicates that one entity removes or separates a part or section from another entity, typically by cutting.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:43 a.m.