Triple
T34879848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Washkansky |
E1005981
|
entity |
| Predicate | hasBodyPartReplaced |
P122307
|
FINISHED |
| Object | heart |
—
|
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: heart | Statement: [Louis Washkansky, hasBodyPartReplaced, heart]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBodyPartReplaced Context triple: [Louis Washkansky, hasBodyPartReplaced, heart]
-
A.
hasBodySwapWith
Indicates a reciprocal relationship where two entities have exchanged bodies or physical forms with each other.
-
B.
hasReplaced
Indicates that one entity has taken the place or function of another entity, superseding it in a given context.
-
C.
replacedPartOf
chosen
Indicates that one entity has taken the place of another entity as a component or part within a larger whole.
-
D.
replacedBody
Indicates that one entity has taken the place of another entity’s body, substituting it in whole or in part.
-
E.
hasBodyPartCount
Indicates that an entity possesses a specified number of body parts.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 3, 2026, 4 p.m.