Triple
T29959683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cold Shoulder |
E761006
|
entity |
| Predicate | exposesBodyPart |
P21283
|
FINISHED |
| Object | shoulders |
—
|
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: shoulders | Statement: [Cold Shoulder, exposesBodyPart, shoulders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposesBodyPart Context triple: [Cold Shoulder, exposesBodyPart, shoulders]
-
A.
partOfBodyWith
Indicates that one entity is a body part that belongs to, or is physically contained within, another entity.
-
B.
bodyPartsGiveRiseTo
Indicates that certain body parts develop into, generate, or are the source of other anatomical structures or tissues.
-
C.
isProminentPartOf
Indicates that something forms a major, highly noticeable, or significant component of a larger whole.
-
D.
protectsBodyPart
Indicates that one entity serves to shield, guard, or defend a specific body part from harm or damage.
-
E.
hasBodyRegion
chosen
Indicates that an entity possesses, includes, or is associated with a specific anatomical or bodily region.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6783d1944819080f26d4d2fdd1256 |
completed | May 2, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:28 p.m.